SEN_Transport_ag_hamlet_uncleangraph_2021-12-02.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Network analysis in Senegal\n",
    "\n",
    "### Objectives\n",
    "    1)\tUse measures of road-based accessibility to identify road segments that, if rehabilitated, would improve agricultural market activities in Senegal, including during flood conditions.\n",
    "    2)\tGain a better understanding of the accessibility, connectivity, and criticality of roads in Senegal in relationship to agricultural origins, processing & transfer sites, and markets.\n",
    "\n",
    "To this end, the team will develop an accessibility model which measures the travel time from sites of agricultural production to their nearest populated areas, processing centers, and markets. \n",
    "\n",
    "### Datasets for analysis\n",
    "#### ORIGIN\n",
    "    1) agriculture: MapSPAM 2017. Measuring value in international dollars.\n",
    "    2) agriculture: UMD Land Cover 2019 30m. Assign MapSPAM value onto land cover cropland class for more precise origin information.\n",
    "    3) population: WorldPop 2020, UN-adjusted.\n",
    "    4) settlement extent: GRID3 2020.\n",
    "#### DESTINATION\n",
    "    4) markets: derived from WorldPop 2020 and GRID3 2020 urban clusters.\n",
    "    5) agricultural processing hubs: to be acquired.\n",
    "#### TRAVEL ROUTE\n",
    "    6) roads: OpenStreetMap, July 2021.\n",
    "    7) elevation: \n",
    "#### OBSTACLE\n",
    "    8) flood: FATHOM. 1-in-10, 20, and 50 year flood return periods. These are combined pluvial and fluvial (undefended) flood layers whereby whichever flood level was higher was retained.\n",
    "#### INTERVENTION\n",
    "    9) upcoming road projects: AGEROUTE interventions separate from the World Bank-financed project\n",
    "    10) targeted road projects: critical road segments identified by this accessibility model's baseline outputs\n",
    "\n",
    "\n",
    "### Model design\n",
    "#### Basic formula: \n",
    "    (a) Off-road driving time from origin to closest road node\n",
    "    +\n",
    "    (b) Driving time from road node in (a) to a destination (closeness measured by road segments speeds)\n",
    "\n",
    "#### Model origin & destination (OD) sets:\n",
    "    A)\tTravel time from an area that has agricultural value/potential to the nearest processing hub (if provided).\n",
    "    B)\tTravel time from an area that has agricultural value/potential to the nearest larger settlement, (“larger” settlement identified using a case-appropriate population metric to be determined).\n",
    "    C)\tTravel time from an area that has agricultural value/potential to the nearest market.\n",
    "    D)\tTravel time from all settlements to the nearest market.\n",
    "    E)\tTravel time from larger settlements to the nearest market.\n",
    "\n",
    "#### Before/after scenarios for each OD set:\n",
    "    1)\tPre-project, baseline weather: No inclement weather. Road network status as of November 2021.\n",
    "    2)\tPre-project, flood: 1-in-10, 1-in-20 and 1-in-50 year flood return period. Road network status as of November 2021.\n",
    "    3)\tPost-project, baseline weather: No inclement weather. Road network status if X number of critical road segments to high-value areas are protected (i.e., their travel times reduced).\n",
    "    4)\tPost-project, flood: 1-in-10 year flood return period. Road network status if X number of critical road segments to high-value areas are protected (i.e., their travel times reduced).\n",
    "\n",
    "#### Notes:\n",
    "    --Destinations are expected to be proximal to the road network, so no measure is taken between road and destination.\n",
    "    --All travel times will be assigned to each model variation’s point of origin; the aggregation up to admin areas is possible if desired.\n",
    "    --Obstacles & interventions modify the road segment speeds. Basic formula is then applied to the modified road network.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prep workspace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\wb527163\\\\GEO-Cdrive-Grace'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os, sys\n",
    "GISFolder = os.getcwd()\n",
    "GISFolder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note: needed to reinstall rtree due to geopandas import error. Did so in the console. \n",
    "# conda install -c conda-forge rtree=0.9.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load and filter osm network (step 1)\n",
    "import geopandas as gpd\n",
    "from geopandas import GeoDataFrame\n",
    "import pandas as pd\n",
    "import time\n",
    "sys.path.append(r\"C:\\Users\\wb527163\\.conda\\envs\\geo\\GOSTnets-master\")\n",
    "import GOSTnets as gn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import osmnx as ox\n",
    "import numpy as np\n",
    "import rasterio as rt\n",
    "import shapely\n",
    "from shapely.geometry import Point, box, Polygon\n",
    "from shapely.ops import unary_union, linemerge, transform\n",
    "from shapely.wkt import loads\n",
    "from shapely import wkt\n",
    "from shapely.geometry import LineString, MultiLineString, Point\n",
    "import peartree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Might not use these\n",
    "import fiona\n",
    "from osgeo import gdal\n",
    "import importlib\n",
    "import matplotlib.pyplot as plt\n",
    "import subprocess, glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from GOSTnets import load_osm as losm\n",
    "import importlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\wb527163\\\\GEO-Cdrive-Grace\\\\SEN-Cdrive'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pth = os.path.join(GISFolder, \"SEN-Cdrive\") # Personal folder system for running model.\n",
    "pth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\wb527163\\\\GEO-Cdrive-Grace\\\\SEN-Cdrive\\\\outputs'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out_pth = os.path.join(GISFolder, \"SEN-Cdrive\\outputs\") # For storing intermediate outputs from the model.\n",
    "out_pth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'R:\\\\SEN\\\\GEO'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "team_pth = 'R:\\\\SEN\\\\GEO' # This is where the unmodified input data is stored. Finalized outputs also housed here.\n",
    "team_pth"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prepare OSM driving network.\n",
    "Travel measured in length (meters)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   id       bound                                           geometry\n",
      "0   0  senegambia  POLYGON ((-16.79591 16.13764, -16.44946 16.908...\n"
     ]
    }
   ],
   "source": [
    "# Earlier, created an approximate bounding area which includes parts of neighboring countries and all of The Gambia.\n",
    "aoi = gpd.read_file(\"R:/SEN/GEO/Roads/bounding_senegam_buffered.shp\") # AOI = Area of Interest\n",
    "print(aoi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-18.19772246984876 11.737226506885227 7.367231466250704 5.503561315224063\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,28.97801432899452)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.14734462932501408\" opacity=\"0.6\" d=\"M -16.795908011377822,16.137638451943904 L -16.449456508943385,16.90819437977223 L -15.589301054623395,16.86638126740945 L -14.974050972713957,16.96792739743334 L -14.191548441353412,16.902221078006118 L -13.671871187701752,16.466170049080013 L -13.211926951711202,16.322810806693347 L -12.943128372236206,15.850919967170576 L -12.686276396293433,15.677694215953355 L -12.626543378632322,15.402922334712247 L -11.814174338441221,14.847405270463922 L -11.844040847271776,14.578606690988925 L -11.646921888990112,13.987249816143933 L -11.706654906651224,13.760264349031713 L -11.658868492522334,13.62885171017727 L -11.425909723644004,13.587038597814493 L -11.103351428274008,13.001655024735612 L -11.157111144169008,12.171366079246178 L -12.33385159209288,12.01008693156118 L -13.343339590565645,12.314725321632842 L -15.063650499205623,12.308752019866732 L -15.68487388288117,12.063846647456181 L -16.21052443829894,12.141499570415624 L -16.999000271425597,12.051900043923958 L -17.07067989261893,13.198773983017276 L -16.95121385729671,13.676638124306159 L -17.47686441271448,14.25604839561893 L -17.92486204517281,14.745859140440034 L -17.267798850900594,15.373055825881693 L -16.795908011377822,16.137638451943904 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x2cf90e2ae50>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bound = aoi.geometry.iloc[0]\n",
    "bound # Check that it's shaped like Senegal & Gambia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Geographic 2D CRS: EPSG:4326>\n",
       "Name: WGS 84\n",
       "Axis Info [ellipsoidal]:\n",
       "- Lat[north]: Geodetic latitude (degree)\n",
       "- Lon[east]: Geodetic longitude (degree)\n",
       "Area of Use:\n",
       "- name: World.\n",
       "- bounds: (-180.0, -90.0, 180.0, 90.0)\n",
       "Datum: World Geodetic System 1984 ensemble\n",
       "- Ellipsoid: WGS 84\n",
       "- Prime Meridian: Greenwich"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aoi.crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\wb527163\\.conda\\envs\\geo\\lib\\site-packages\\osmnx-1.1.1-py3.8.egg\\osmnx\\utils_geo.py:335: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
      "  for polygon in geometry:\n",
      "C:\\Users\\wb527163\\.conda\\envs\\geo\\lib\\site-packages\\osmnx-1.1.1-py3.8.egg\\osmnx\\utils_geo.py:426: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
      "  for poly in multipoly:\n"
     ]
    }
   ],
   "source": [
    "gDrive = ox.graph_from_polygon(bound, network_type= 'drive', simplify=False, clean_periphery=False)\n",
    "# Note: length is measured in meters.\n",
    "# Took approximately 30 min."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "node_drive = gn.node_gdf_from_graph(gDrive)\n",
    "node_drive.to_csv(os.path.join(out_pth, 'node_drive_unclean.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(358284990, 5217543379, {'osmid': 59618174, 'ref': 'D 523', 'name': 'D 523', 'highway': 'unclassified', 'oneway': False, 'length': 33.127})\n",
      "(358284990, 1888282175, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 12.832})\n"
     ]
    }
   ],
   "source": [
    "gn.example_edge(gDrive, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Convert the graph to time, then save to file. Edges contain the time measure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "G_edges_drive = gn.edge_gdf_from_graph(gDrive)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "G_nodes_drive = gn.node_gdf_from_graph(gDrive)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 4012565 entries, 0 to 4012564\n",
      "Data columns (total 17 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   stnode    int64   \n",
      " 1   endnode   int64   \n",
      " 2   name      object  \n",
      " 3   oneway    bool    \n",
      " 4   ref       object  \n",
      " 5   maxspeed  object  \n",
      " 6   highway   object  \n",
      " 7   lanes     object  \n",
      " 8   tunnel    object  \n",
      " 9   bridge    object  \n",
      " 10  width     object  \n",
      " 11  junction  object  \n",
      " 12  access    object  \n",
      " 13  area      object  \n",
      " 14  length    float64 \n",
      " 15  osmid     int64   \n",
      " 16  geometry  geometry\n",
      "dtypes: bool(1), float64(1), geometry(1), int64(3), object(11)\n",
      "memory usage: 493.6+ MB\n",
      "None\n",
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "Int64Index: 1829568 entries, 0 to 1829567\n",
      "Data columns (total 6 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   node_ID   int64   \n",
      " 1   y         float64 \n",
      " 2   highway   object  \n",
      " 3   x         float64 \n",
      " 4   ref       object  \n",
      " 5   geometry  geometry\n",
      "dtypes: float64(2), geometry(1), int64(1), object(2)\n",
      "memory usage: 97.7+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(G_edges_drive.info()) # 4,012,565\n",
    "print(G_nodes_drive.info()) # 1,829,568"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "print(len(G_edges_drive.loc[G_edges_drive['osmid']==0]), end=\"\\n\")\n",
    "print(len(G_edges_drive.loc[G_edges_drive['osmid'].isnull()]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "speed_dict = {\n",
    "                'residential': 40,  # kmph\n",
    "                'primary': 80, \n",
    "                'primary_link':60,\n",
    "                'trunk': 80,\n",
    "                'trunk_link':60,\n",
    "                'secondary': 70, \n",
    "                'secondary_link':50,\n",
    "                'service': 40,\n",
    "                'tertiary':60,\n",
    "                'tertiary_link': 40,\n",
    "                'unclassified':50, \n",
    "                'road':50,\n",
    "                'track':25,\n",
    "                'path':4.5,\n",
    "                }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "gTime = gn.convert_network_to_time(gDrive, distance_tag = 'length', graph_type='drive', speed_dict = speed_dict)\n",
    "# Note: time is in seconds."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare the roads before and after converting to time to make sure the time looks accurate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No time variable\n",
      "\n",
      "(358284990, 5217543379, {'osmid': 59618174, 'ref': 'D 523', 'name': 'D 523', 'highway': 'unclassified', 'oneway': False, 'length': 33.127})\n",
      "(358284990, 1888282175, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 12.832})\n",
      "None\n",
      "Time variable\n",
      "\n",
      "(358284990, 5217543379, {'osmid': 59618174, 'ref': 'D 523', 'name': 'D 523', 'highway': 'unclassified', 'oneway': False, 'length': 33.127, 'time': 2.3851440000000004, 'mode': 'drive'})\n",
      "(358284990, 1888282175, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 12.832, 'time': 0.76992, 'mode': 'drive'})\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(\"No time variable\\n\")\n",
    "print(gn.example_edge(gDrive, 2))\n",
    "print(\"Time variable\\n\") \n",
    "print(gn.example_edge(gTime, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 4012565 entries, 0 to 4012564\n",
      "Data columns (total 19 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   stnode    int64   \n",
      " 1   endnode   int64   \n",
      " 2   name      object  \n",
      " 3   oneway    bool    \n",
      " 4   ref       object  \n",
      " 5   time      float64 \n",
      " 6   maxspeed  object  \n",
      " 7   highway   object  \n",
      " 8   lanes     object  \n",
      " 9   mode      object  \n",
      " 10  tunnel    object  \n",
      " 11  bridge    object  \n",
      " 12  width     object  \n",
      " 13  junction  object  \n",
      " 14  access    object  \n",
      " 15  area      object  \n",
      " 16  length    float64 \n",
      " 17  osmid     int64   \n",
      " 18  geometry  geometry\n",
      "dtypes: bool(1), float64(2), geometry(1), int64(3), object(12)\n",
      "memory usage: 554.9+ MB\n",
      "None\n",
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "Int64Index: 1829568 entries, 0 to 1829567\n",
      "Data columns (total 6 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   node_ID   int64   \n",
      " 1   y         float64 \n",
      " 2   highway   object  \n",
      " 3   x         float64 \n",
      " 4   ref       object  \n",
      " 5   geometry  geometry\n",
      "dtypes: float64(2), geometry(1), int64(1), object(2)\n",
      "memory usage: 97.7+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "edges = gn.edge_gdf_from_graph(gTime) # 4,012,565 edges\n",
    "nodes = gn.node_gdf_from_graph(gTime) # 1,829,568 nodes. \n",
    "print(edges.info(), end=\"\\n\")\n",
    "print(nodes.info()) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Geographic 2D CRS: EPSG:4326>\n",
       "Name: WGS 84\n",
       "Axis Info [ellipsoidal]:\n",
       "- Lat[north]: Geodetic latitude (degree)\n",
       "- Lon[east]: Geodetic longitude (degree)\n",
       "Area of Use:\n",
       "- name: World.\n",
       "- bounds: (-180.0, -90.0, 180.0, 90.0)\n",
       "Datum: World Geodetic System 1984 ensemble\n",
       "- Ellipsoid: WGS 84\n",
       "- Prime Meridian: Greenwich"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edges.crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save a pickle of the graph and csvs of the edges and nodes with the time measure for easy recall.\n",
    "gn.save(gTime, 'SEN-Cdrive/gTime', '', edges = True, nodes = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Origins and destinations\n",
    "\n",
    "Measure distance from origin/destination to nearest node and save to file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%% If starting new session, reload graph from file\n",
    "gTime = nx.read_gpickle(\"SEN-Cdrive/gTime.pickle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "HDurban_pt = gpd.read_file(\"SEN-Cdrive/outputs/HDurban_pt.shp\")\n",
    "hamlet_pt = gpd.read_file(\"SEN-Cdrive/outputs/hamlet_pt.shp\")\n",
    "HDurban_pt = HDurban_pt.to_crs(\"EPSG:4326\")\n",
    "hamlet_pt = hamlet_pt.to_crs(\"EPSG:4326\")\n",
    "print(HDurban_pt.info())\n",
    "print(\"\\n\\n\")\n",
    "print(hamlet_pt.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 13941124 entries, 0 to 13941123\n",
      "Data columns (total 9 columns):\n",
      " #   Column    Dtype   \n",
      "---  ------    -----   \n",
      " 0   ID_ag     int64   \n",
      " 1   ID_spam   float64 \n",
      " 2   grid_val  float64 \n",
      " 3   ID_LC     float64 \n",
      " 4   val       float64 \n",
      " 5   x         float64 \n",
      " 6   y         float64 \n",
      " 7   NSnomax   float64 \n",
      " 8   geometry  geometry\n",
      "dtypes: float64(7), geometry(1), int64(1)\n",
      "memory usage: 957.3 MB\n"
     ]
    }
   ],
   "source": [
    "print('start: %s\\n' % time.ctime())\n",
    "agriculture = gpd.read_file(\"R:\\SEN\\GEO\\Team\\Projects\\Sen_TransportOV\\SEN_TransportOV.gdb\", layer=\"agriculture_allorigins\")\n",
    "agriculture = agriculture.to_crs('EPSG:4326')\n",
    "agriculture.info()\n",
    "print('\\nend: %s' % time.ctime())\n",
    "print('\\n--- processing complete')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "?gn.pandana_snap_c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed_ 0</th>\n",
       "      <th>mgrs_code</th>\n",
       "      <th>type</th>\n",
       "      <th>AREA_GEO</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Total_Driv</th>\n",
       "      <th>WP_dens</th>\n",
       "      <th>urb</th>\n",
       "      <th>hd_urb</th>\n",
       "      <th>Urb_class</th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>NN</th>\n",
       "      <th>NN_dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>28PCU6189_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>27.151434</td>\n",
       "      <td>1.860466e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6852.183502</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.671746</td>\n",
       "      <td>2.258828e-03</td>\n",
       "      <td>POINT (-16.27319 12.56237)</td>\n",
       "      <td>6058226279</td>\n",
       "      <td>2.216606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>28PEV0625_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>25.799549</td>\n",
       "      <td>1.064198e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4124.872441</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.718941</td>\n",
       "      <td>2.149259e-03</td>\n",
       "      <td>POINT (-14.93619 12.89216)</td>\n",
       "      <td>6029307183</td>\n",
       "      <td>45.594167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>28PBA8597_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>81.242354</td>\n",
       "      <td>3.382677e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.303639</td>\n",
       "      <td>6.813610e-03</td>\n",
       "      <td>POINT (-16.98703 14.44528)</td>\n",
       "      <td>4998093094</td>\n",
       "      <td>55.383696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>28PCA8365_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>42.134069</td>\n",
       "      <td>2.755403e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.070058</td>\n",
       "      <td>3.528274e-03</td>\n",
       "      <td>POINT (-16.07613 14.16038)</td>\n",
       "      <td>2201506815</td>\n",
       "      <td>55.754910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>56</td>\n",
       "      <td>28PDA4058_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>11.123881</td>\n",
       "      <td>5.186398e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4662.399756</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.298223</td>\n",
       "      <td>9.311211e-04</td>\n",
       "      <td>POINT (-15.54760 14.10042)</td>\n",
       "      <td>3474499811</td>\n",
       "      <td>66.927870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>75</td>\n",
       "      <td>28PBB9234_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>53.453391</td>\n",
       "      <td>2.911360e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.468618</td>\n",
       "      <td>4.489114e-03</td>\n",
       "      <td>POINT (-16.92615 14.78062)</td>\n",
       "      <td>1697006012</td>\n",
       "      <td>23.047883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>76</td>\n",
       "      <td>28PBB4632_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>226.850348</td>\n",
       "      <td>3.637718e+06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4.771359</td>\n",
       "      <td>1.905124e-02</td>\n",
       "      <td>POINT (-17.35639 14.75196)</td>\n",
       "      <td>1901689169</td>\n",
       "      <td>5.826006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>80</td>\n",
       "      <td>28PCB0453_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>19.580942</td>\n",
       "      <td>8.712281e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4449.367491</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.611345</td>\n",
       "      <td>1.645460e-03</td>\n",
       "      <td>POINT (-16.81721 14.94581)</td>\n",
       "      <td>6032060028</td>\n",
       "      <td>88.156089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>84</td>\n",
       "      <td>28PCB6720_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>23.634834</td>\n",
       "      <td>1.342721e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.689064</td>\n",
       "      <td>1.983306e-03</td>\n",
       "      <td>POINT (-16.22779 14.65372)</td>\n",
       "      <td>6040927878</td>\n",
       "      <td>41.930884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>98</td>\n",
       "      <td>28PDB0443_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>196.802191</td>\n",
       "      <td>9.490037e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2575.818720</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.094788</td>\n",
       "      <td>1.653195e-02</td>\n",
       "      <td>POINT (-15.88776 14.86030)</td>\n",
       "      <td>3449495495</td>\n",
       "      <td>28.431974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>123</td>\n",
       "      <td>28QCC4070_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>9.174147</td>\n",
       "      <td>1.077744e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11747.618988</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.212800</td>\n",
       "      <td>7.746230e-04</td>\n",
       "      <td>POINT (-16.49043 16.00972)</td>\n",
       "      <td>3990543961</td>\n",
       "      <td>30.501908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>125</td>\n",
       "      <td>28QCC4573_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>13.701781</td>\n",
       "      <td>7.519136e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.612294</td>\n",
       "      <td>1.157396e-03</td>\n",
       "      <td>POINT (-16.44247 16.04823)</td>\n",
       "      <td>8972391475</td>\n",
       "      <td>76.235638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>151</td>\n",
       "      <td>28PFA4322_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>26.974183</td>\n",
       "      <td>1.207991e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.686130</td>\n",
       "      <td>2.255116e-03</td>\n",
       "      <td>POINT (-13.67026 13.77069)</td>\n",
       "      <td>3418418812</td>\n",
       "      <td>13.729478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>157</td>\n",
       "      <td>28PCC6827_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>20.814212</td>\n",
       "      <td>9.576882e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.494002</td>\n",
       "      <td>1.754369e-03</td>\n",
       "      <td>POINT (-16.22514 15.62090)</td>\n",
       "      <td>1983641803</td>\n",
       "      <td>29.090625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>160</td>\n",
       "      <td>28PCU6286_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.105280</td>\n",
       "      <td>2.093665e+02</td>\n",
       "      <td>5.479664</td>\n",
       "      <td>6852.183502</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.021230</td>\n",
       "      <td>8.758142e-06</td>\n",
       "      <td>POINT (-16.26448 12.53737)</td>\n",
       "      <td>6014451367</td>\n",
       "      <td>61.273348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>168</td>\n",
       "      <td>28PEV0425_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.164601</td>\n",
       "      <td>2.503226e+02</td>\n",
       "      <td>5.371455</td>\n",
       "      <td>4124.872441</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.019495</td>\n",
       "      <td>1.371013e-05</td>\n",
       "      <td>POINT (-14.96104 12.89576)</td>\n",
       "      <td>6027163276</td>\n",
       "      <td>23.270139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>173</td>\n",
       "      <td>28PFA4321_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036757</td>\n",
       "      <td>5.002239e+01</td>\n",
       "      <td>3.131679</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006776</td>\n",
       "      <td>3.072012e-06</td>\n",
       "      <td>POINT (-13.66859 13.75522)</td>\n",
       "      <td>2833577858</td>\n",
       "      <td>216.111092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>174</td>\n",
       "      <td>28PBA9292_06</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.023177</td>\n",
       "      <td>1.846325e+01</td>\n",
       "      <td>13.239334</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005371</td>\n",
       "      <td>1.942589e-06</td>\n",
       "      <td>POINT (-16.92748 14.39850)</td>\n",
       "      <td>4656728818</td>\n",
       "      <td>140.803095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>175</td>\n",
       "      <td>28PBA8299_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>1.655101e+01</td>\n",
       "      <td>4.715519</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004799</td>\n",
       "      <td>1.167113e-06</td>\n",
       "      <td>POINT (-17.01607 14.46076)</td>\n",
       "      <td>6045659373</td>\n",
       "      <td>27.871739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>176</td>\n",
       "      <td>28PBB7801_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017578</td>\n",
       "      <td>3.044826e+01</td>\n",
       "      <td>11.659853</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004813</td>\n",
       "      <td>1.473665e-06</td>\n",
       "      <td>POINT (-17.05586 14.47764)</td>\n",
       "      <td>5528866190</td>\n",
       "      <td>64.826632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>177</td>\n",
       "      <td>28PBB8202_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.033487</td>\n",
       "      <td>3.486522e+01</td>\n",
       "      <td>7.892879</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>2.807464e-06</td>\n",
       "      <td>POINT (-17.01885 14.48305)</td>\n",
       "      <td>6027939517</td>\n",
       "      <td>24.581971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>178</td>\n",
       "      <td>28PBB7902_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.188962</td>\n",
       "      <td>2.698936e+02</td>\n",
       "      <td>9.563365</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.030043</td>\n",
       "      <td>1.584495e-05</td>\n",
       "      <td>POINT (-17.04249 14.48473)</td>\n",
       "      <td>6031093257</td>\n",
       "      <td>273.489784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>179</td>\n",
       "      <td>28PBB8103_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.152780</td>\n",
       "      <td>2.366904e+02</td>\n",
       "      <td>9.538024</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.029995</td>\n",
       "      <td>1.281388e-05</td>\n",
       "      <td>POINT (-17.02641 14.49189)</td>\n",
       "      <td>1883155712</td>\n",
       "      <td>129.540762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>182</td>\n",
       "      <td>28PCA7866_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.009282</td>\n",
       "      <td>1.921189e+01</td>\n",
       "      <td>8.378629</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003274</td>\n",
       "      <td>7.770706e-07</td>\n",
       "      <td>POINT (-16.12870 14.16324)</td>\n",
       "      <td>6026417971</td>\n",
       "      <td>287.396023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>184</td>\n",
       "      <td>28PCA8268_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.026723</td>\n",
       "      <td>3.108315e+01</td>\n",
       "      <td>5.292360</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006861</td>\n",
       "      <td>2.237697e-06</td>\n",
       "      <td>POINT (-16.09028 14.18556)</td>\n",
       "      <td>6031245697</td>\n",
       "      <td>49.284838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>197</td>\n",
       "      <td>28PBB3031_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036793</td>\n",
       "      <td>2.190752e+02</td>\n",
       "      <td>15.925017</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007562</td>\n",
       "      <td>3.088678e-06</td>\n",
       "      <td>POINT (-17.50391 14.74632)</td>\n",
       "      <td>7493947593</td>\n",
       "      <td>15.922254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>199</td>\n",
       "      <td>28PBB9431_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017802</td>\n",
       "      <td>3.757302e+01</td>\n",
       "      <td>6.049956</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004718</td>\n",
       "      <td>1.494350e-06</td>\n",
       "      <td>POINT (-16.90908 14.74696)</td>\n",
       "      <td>1859359090</td>\n",
       "      <td>107.065710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>201</td>\n",
       "      <td>28PBB5833_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.044133</td>\n",
       "      <td>6.815012e+01</td>\n",
       "      <td>15.771149</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008892</td>\n",
       "      <td>3.704665e-06</td>\n",
       "      <td>POINT (-17.23996 14.76755)</td>\n",
       "      <td>6053816462</td>\n",
       "      <td>52.284317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>202</td>\n",
       "      <td>28PBB5934_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.067703</td>\n",
       "      <td>6.689919e+01</td>\n",
       "      <td>16.463440</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.012549</td>\n",
       "      <td>5.684528e-06</td>\n",
       "      <td>POINT (-17.23392 14.77603)</td>\n",
       "      <td>6027530676</td>\n",
       "      <td>16.433933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>203</td>\n",
       "      <td>28PBB7434_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024692</td>\n",
       "      <td>6.194532e+01</td>\n",
       "      <td>8.691752</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005714</td>\n",
       "      <td>2.072792e-06</td>\n",
       "      <td>POINT (-17.09863 14.77747)</td>\n",
       "      <td>2988435647</td>\n",
       "      <td>89.468532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>204</td>\n",
       "      <td>28PBB7034_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.112259</td>\n",
       "      <td>1.692285e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.016761</td>\n",
       "      <td>9.425205e-06</td>\n",
       "      <td>POINT (-17.12943 14.77851)</td>\n",
       "      <td>1332801944</td>\n",
       "      <td>544.912838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>206</td>\n",
       "      <td>28PBB5835_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.022898</td>\n",
       "      <td>9.636268e+00</td>\n",
       "      <td>18.883526</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005762</td>\n",
       "      <td>1.922510e-06</td>\n",
       "      <td>POINT (-17.24231 14.78338)</td>\n",
       "      <td>6053825179</td>\n",
       "      <td>85.053967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>208</td>\n",
       "      <td>28PBB7435_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.045895</td>\n",
       "      <td>7.314733e+01</td>\n",
       "      <td>9.383175</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010610</td>\n",
       "      <td>3.853366e-06</td>\n",
       "      <td>POINT (-17.09417 14.78287)</td>\n",
       "      <td>2988435792</td>\n",
       "      <td>448.688952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>209</td>\n",
       "      <td>28PBB5736_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024862</td>\n",
       "      <td>2.599556e+01</td>\n",
       "      <td>18.950196</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005707</td>\n",
       "      <td>2.087379e-06</td>\n",
       "      <td>POINT (-17.24905 14.78994)</td>\n",
       "      <td>3036877534</td>\n",
       "      <td>83.358619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>210</td>\n",
       "      <td>28PBB6036_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.127726</td>\n",
       "      <td>2.177392e+02</td>\n",
       "      <td>18.371827</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.020240</td>\n",
       "      <td>1.072401e-05</td>\n",
       "      <td>POINT (-17.22451 14.78866)</td>\n",
       "      <td>6056472223</td>\n",
       "      <td>33.845239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>211</td>\n",
       "      <td>28PBB4937_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.064379</td>\n",
       "      <td>5.965873e+02</td>\n",
       "      <td>7.559833</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010636</td>\n",
       "      <td>5.405016e-06</td>\n",
       "      <td>POINT (-17.33198 14.80167)</td>\n",
       "      <td>7460241128</td>\n",
       "      <td>101.985612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>213</td>\n",
       "      <td>28PBB9439_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.031203</td>\n",
       "      <td>6.360090e+01</td>\n",
       "      <td>6.593517</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006431</td>\n",
       "      <td>2.620111e-06</td>\n",
       "      <td>POINT (-16.90672 14.82139)</td>\n",
       "      <td>6028595154</td>\n",
       "      <td>16.068266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>214</td>\n",
       "      <td>28PBB9140_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.016236</td>\n",
       "      <td>3.369405e+01</td>\n",
       "      <td>7.070007</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005212</td>\n",
       "      <td>1.363254e-06</td>\n",
       "      <td>POINT (-16.93440 14.82745)</td>\n",
       "      <td>4053739078</td>\n",
       "      <td>53.575602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>216</td>\n",
       "      <td>28PCB0753_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.038454</td>\n",
       "      <td>2.791577e+01</td>\n",
       "      <td>4.990843</td>\n",
       "      <td>4449.367491</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007613</td>\n",
       "      <td>3.230593e-06</td>\n",
       "      <td>POINT (-16.79378 14.94819)</td>\n",
       "      <td>4071261250</td>\n",
       "      <td>101.308205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>218</td>\n",
       "      <td>28PCB6420_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036734</td>\n",
       "      <td>5.628131e+01</td>\n",
       "      <td>5.323107</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008031</td>\n",
       "      <td>3.082793e-06</td>\n",
       "      <td>POINT (-16.25612 14.65646)</td>\n",
       "      <td>6014815762</td>\n",
       "      <td>492.710533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>219</td>\n",
       "      <td>28PCB6622_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.042953</td>\n",
       "      <td>7.583911e+01</td>\n",
       "      <td>7.330625</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008189</td>\n",
       "      <td>3.604109e-06</td>\n",
       "      <td>POINT (-16.24125 14.67499)</td>\n",
       "      <td>6024430122</td>\n",
       "      <td>65.929413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>223</td>\n",
       "      <td>28PDB0035_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.007997</td>\n",
       "      <td>1.721998e+01</td>\n",
       "      <td>12.119414</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003240</td>\n",
       "      <td>6.713225e-07</td>\n",
       "      <td>POINT (-15.92440 14.79009)</td>\n",
       "      <td>8229317581</td>\n",
       "      <td>46.096276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>224</td>\n",
       "      <td>28PCB9937_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.066384</td>\n",
       "      <td>1.701381e+02</td>\n",
       "      <td>10.443704</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>5.573913e-06</td>\n",
       "      <td>POINT (-15.93379 14.80943)</td>\n",
       "      <td>6027834438</td>\n",
       "      <td>208.336925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>226</td>\n",
       "      <td>28PDB1139_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020778</td>\n",
       "      <td>2.617514e+01</td>\n",
       "      <td>10.677935</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005601</td>\n",
       "      <td>1.744649e-06</td>\n",
       "      <td>POINT (-15.82162 14.82663)</td>\n",
       "      <td>6024894515</td>\n",
       "      <td>194.366522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>227</td>\n",
       "      <td>28PDB1139_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.056959</td>\n",
       "      <td>8.547818e+01</td>\n",
       "      <td>10.874058</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011433</td>\n",
       "      <td>4.783164e-06</td>\n",
       "      <td>POINT (-15.82415 14.82690)</td>\n",
       "      <td>6024894530</td>\n",
       "      <td>44.896345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>228</td>\n",
       "      <td>28PDB1139_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020389</td>\n",
       "      <td>1.425154e+01</td>\n",
       "      <td>10.553416</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005011</td>\n",
       "      <td>1.712171e-06</td>\n",
       "      <td>POINT (-15.81977 14.82764)</td>\n",
       "      <td>6024894513</td>\n",
       "      <td>214.531196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>229</td>\n",
       "      <td>28PCB9741_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.028295</td>\n",
       "      <td>2.806345e+01</td>\n",
       "      <td>9.374555</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006360</td>\n",
       "      <td>2.376282e-06</td>\n",
       "      <td>POINT (-15.95625 14.84814)</td>\n",
       "      <td>6031993937</td>\n",
       "      <td>26.294758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>230</td>\n",
       "      <td>28PDB0149_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.040534</td>\n",
       "      <td>4.546143e+01</td>\n",
       "      <td>6.408090</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007648</td>\n",
       "      <td>3.404769e-06</td>\n",
       "      <td>POINT (-15.92044 14.91450)</td>\n",
       "      <td>8200298999</td>\n",
       "      <td>237.813187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>237</td>\n",
       "      <td>28PCC6924_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>9.612921e+00</td>\n",
       "      <td>5.051494</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004811</td>\n",
       "      <td>1.173189e-06</td>\n",
       "      <td>POINT (-16.21746 15.59720)</td>\n",
       "      <td>1968458114</td>\n",
       "      <td>56.750510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>244</td>\n",
       "      <td>28QCC4877_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020283</td>\n",
       "      <td>1.279428e+01</td>\n",
       "      <td>4.109954</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005630</td>\n",
       "      <td>1.713057e-06</td>\n",
       "      <td>POINT (-16.41659 16.07191)</td>\n",
       "      <td>1936967272</td>\n",
       "      <td>763.622470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>274</td>\n",
       "      <td>28PFA3822_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.295219</td>\n",
       "      <td>5.353027e+02</td>\n",
       "      <td>4.677464</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026402</td>\n",
       "      <td>2.467579e-05</td>\n",
       "      <td>POINT (-13.71478 13.77122)</td>\n",
       "      <td>3496518021</td>\n",
       "      <td>258.893631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>275</td>\n",
       "      <td>28PFA4124_01</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.101893</td>\n",
       "      <td>1.886798e+02</td>\n",
       "      <td>4.089369</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.013817</td>\n",
       "      <td>8.517618e-06</td>\n",
       "      <td>POINT (-13.69533 13.78327)</td>\n",
       "      <td>6027615161</td>\n",
       "      <td>29.882395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>278</td>\n",
       "      <td>28PBA8299_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.343841</td>\n",
       "      <td>6.259307e+02</td>\n",
       "      <td>5.307602</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.051295</td>\n",
       "      <td>2.883058e-05</td>\n",
       "      <td>POINT (-17.02074 14.46139)</td>\n",
       "      <td>6027276892</td>\n",
       "      <td>23.453107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>287</td>\n",
       "      <td>28PBB5835_05</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.308017</td>\n",
       "      <td>3.190239e+02</td>\n",
       "      <td>17.747726</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.043032</td>\n",
       "      <td>2.586476e-05</td>\n",
       "      <td>POINT (-17.24553 14.78222)</td>\n",
       "      <td>6041228287</td>\n",
       "      <td>40.406566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>288</td>\n",
       "      <td>28PBB5936_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.154444</td>\n",
       "      <td>2.000646e+02</td>\n",
       "      <td>20.407153</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026399</td>\n",
       "      <td>1.296732e-05</td>\n",
       "      <td>POINT (-17.23455 14.79591)</td>\n",
       "      <td>5536661253</td>\n",
       "      <td>24.430550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>289</td>\n",
       "      <td>28PBB6040_03</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.160911</td>\n",
       "      <td>2.663758e+02</td>\n",
       "      <td>21.657425</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.027111</td>\n",
       "      <td>1.351374e-05</td>\n",
       "      <td>POINT (-17.22539 14.83037)</td>\n",
       "      <td>7357630367</td>\n",
       "      <td>149.183632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>297</td>\n",
       "      <td>28PCB9642_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>2.337009</td>\n",
       "      <td>3.504073e+03</td>\n",
       "      <td>11.801961</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.172410</td>\n",
       "      <td>1.963038e-04</td>\n",
       "      <td>POINT (-15.96514 14.85569)</td>\n",
       "      <td>8178147277</td>\n",
       "      <td>13.505685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>298</td>\n",
       "      <td>28PDB0750_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.454997</td>\n",
       "      <td>5.968164e+02</td>\n",
       "      <td>11.240426</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.038288</td>\n",
       "      <td>3.822519e-05</td>\n",
       "      <td>POINT (-15.85781 14.92693)</td>\n",
       "      <td>6026834850</td>\n",
       "      <td>10.829250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed_ 0     mgrs_code    type    AREA_GEO           SUM  Total_Driv  \\\n",
       "0            1  28PCU6189_01     bua   27.151434  1.860466e+05    0.000000   \n",
       "1            8  28PEV0625_01     bua   25.799549  1.064198e+05    0.000000   \n",
       "2           37  28PBA8597_01     bua   81.242354  3.382677e+05    0.000000   \n",
       "3           47  28PCA8365_01     bua   42.134069  2.755403e+05    0.000000   \n",
       "4           56  28PDA4058_01     bua   11.123881  5.186398e+04    0.000000   \n",
       "5           75  28PBB9234_01     bua   53.453391  2.911360e+05    0.000000   \n",
       "6           76  28PBB4632_01     bua  226.850348  3.637718e+06    0.000000   \n",
       "7           80  28PCB0453_01     bua   19.580942  8.712281e+04    0.000000   \n",
       "8           84  28PCB6720_01     bua   23.634834  1.342721e+05    0.000000   \n",
       "9           98  28PDB0443_01     bua  196.802191  9.490037e+05    0.000000   \n",
       "10         123  28QCC4070_01     bua    9.174147  1.077744e+05    0.000000   \n",
       "11         125  28QCC4573_01     bua   13.701781  7.519136e+04    0.000000   \n",
       "12         151  28PFA4322_01     bua   26.974183  1.207991e+05    0.000000   \n",
       "13         157  28PCC6827_01     bua   20.814212  9.576882e+04    0.000000   \n",
       "14         160  28PCU6286_04  hamlet    0.105280  2.093665e+02    5.479664   \n",
       "15         168  28PEV0425_03  hamlet    0.164601  2.503226e+02    5.371455   \n",
       "16         173  28PFA4321_01  hamlet    0.036757  5.002239e+01    3.131679   \n",
       "17         174  28PBA9292_06  hamlet    0.023177  1.846325e+01   13.239334   \n",
       "18         175  28PBA8299_01  hamlet    0.013923  1.655101e+01    4.715519   \n",
       "19         176  28PBB7801_01  hamlet    0.017578  3.044826e+01   11.659853   \n",
       "20         177  28PBB8202_01  hamlet    0.033487  3.486522e+01    7.892879   \n",
       "21         178  28PBB7902_04  hamlet    0.188962  2.698936e+02    9.563365   \n",
       "22         179  28PBB8103_02  hamlet    0.152780  2.366904e+02    9.538024   \n",
       "23         182  28PCA7866_01  hamlet    0.009282  1.921189e+01    8.378629   \n",
       "24         184  28PCA8268_03  hamlet    0.026723  3.108315e+01    5.292360   \n",
       "25         197  28PBB3031_01  hamlet    0.036793  2.190752e+02   15.925017   \n",
       "26         199  28PBB9431_01  hamlet    0.017802  3.757302e+01    6.049956   \n",
       "27         201  28PBB5833_07  hamlet    0.044133  6.815012e+01   15.771149   \n",
       "28         202  28PBB5934_01  hamlet    0.067703  6.689919e+01   16.463440   \n",
       "29         203  28PBB7434_03  hamlet    0.024692  6.194532e+01    8.691752   \n",
       "30         204  28PBB7034_07  hamlet    0.112259  1.692285e+02         NaN   \n",
       "31         206  28PBB5835_03  hamlet    0.022898  9.636268e+00   18.883526   \n",
       "32         208  28PBB7435_01  hamlet    0.045895  7.314733e+01    9.383175   \n",
       "33         209  28PBB5736_02  hamlet    0.024862  2.599556e+01   18.950196   \n",
       "34         210  28PBB6036_01  hamlet    0.127726  2.177392e+02   18.371827   \n",
       "35         211  28PBB4937_01  hamlet    0.064379  5.965873e+02    7.559833   \n",
       "36         213  28PBB9439_02  hamlet    0.031203  6.360090e+01    6.593517   \n",
       "37         214  28PBB9140_02  hamlet    0.016236  3.369405e+01    7.070007   \n",
       "38         216  28PCB0753_03  hamlet    0.038454  2.791577e+01    4.990843   \n",
       "39         218  28PCB6420_04  hamlet    0.036734  5.628131e+01    5.323107   \n",
       "40         219  28PCB6622_01  hamlet    0.042953  7.583911e+01    7.330625   \n",
       "41         223  28PDB0035_01  hamlet    0.007997  1.721998e+01   12.119414   \n",
       "42         224  28PCB9937_03  hamlet    0.066384  1.701381e+02   10.443704   \n",
       "43         226  28PDB1139_01  hamlet    0.020778  2.617514e+01   10.677935   \n",
       "44         227  28PDB1139_02  hamlet    0.056959  8.547818e+01   10.874058   \n",
       "45         228  28PDB1139_03  hamlet    0.020389  1.425154e+01   10.553416   \n",
       "46         229  28PCB9741_04  hamlet    0.028295  2.806345e+01    9.374555   \n",
       "47         230  28PDB0149_01  hamlet    0.040534  4.546143e+01    6.408090   \n",
       "48         237  28PCC6924_02  hamlet    0.013923  9.612921e+00    5.051494   \n",
       "49         244  28QCC4877_02  hamlet    0.020283  1.279428e+01    4.109954   \n",
       "50         274  28PFA3822_04     ssa    0.295219  5.353027e+02    4.677464   \n",
       "51         275  28PFA4124_01     ssa    0.101893  1.886798e+02    4.089369   \n",
       "52         278  28PBA8299_02     ssa    0.343841  6.259307e+02    5.307602   \n",
       "53         287  28PBB5835_05     ssa    0.308017  3.190239e+02   17.747726   \n",
       "54         288  28PBB5936_02     ssa    0.154444  2.000646e+02   20.407153   \n",
       "55         289  28PBB6040_03     ssa    0.160911  2.663758e+02   21.657425   \n",
       "56         297  28PCB9642_02     ssa    2.337009  3.504073e+03   11.801961   \n",
       "57         298  28PDB0750_04     ssa    0.454997  5.968164e+02   11.240426   \n",
       "\n",
       "         WP_dens  urb  hd_urb  Urb_class  Shape_Leng    Shape_Area  \\\n",
       "0    6852.183502    1       1          2    0.671746  2.258828e-03   \n",
       "1    4124.872441    1       1          2    0.718941  2.149259e-03   \n",
       "2    4163.686114    1       1          2    2.303639  6.813610e-03   \n",
       "3    6539.609258    1       1          2    1.070058  3.528274e-03   \n",
       "4    4662.399756    1       1          2    0.298223  9.311211e-04   \n",
       "5    5446.539082    1       1          2    1.468618  4.489114e-03   \n",
       "6   16035.762110    1       1          2    4.771359  1.905124e-02   \n",
       "7    4449.367491    1       1          2    0.611345  1.645460e-03   \n",
       "8    5681.109779    1       1          2    0.689064  1.983306e-03   \n",
       "9    2575.818720    1       1          2    3.094788  1.653195e-02   \n",
       "10  11747.618988    1       1          2    0.212800  7.746230e-04   \n",
       "11   5487.706734    1       1          2    0.612294  1.157396e-03   \n",
       "12   4478.321578    1       1          2    0.686130  2.255116e-03   \n",
       "13   4601.126349    1       1          2    0.494002  1.754369e-03   \n",
       "14   6852.183502    1       1          2    0.021230  8.758142e-06   \n",
       "15   4124.872441    1       1          2    0.019495  1.371013e-05   \n",
       "16   4478.321578    1       1          2    0.006776  3.072012e-06   \n",
       "17   4163.686114    1       1          2    0.005371  1.942589e-06   \n",
       "18   4163.686114    1       1          2    0.004799  1.167113e-06   \n",
       "19   4163.686114    1       1          2    0.004813  1.473665e-06   \n",
       "20   4163.686114    1       1          2    0.008101  2.807464e-06   \n",
       "21   4163.686114    1       1          2    0.030043  1.584495e-05   \n",
       "22   4163.686114    1       1          2    0.029995  1.281388e-05   \n",
       "23   6539.609258    1       1          2    0.003274  7.770706e-07   \n",
       "24   6539.609258    1       1          2    0.006861  2.237697e-06   \n",
       "25  16035.762110    1       1          2    0.007562  3.088678e-06   \n",
       "26   5446.539082    1       1          2    0.004718  1.494350e-06   \n",
       "27  16035.762110    1       1          2    0.008892  3.704665e-06   \n",
       "28  16035.762110    1       1          2    0.012549  5.684528e-06   \n",
       "29   2999.449116    1       1          2    0.005714  2.072792e-06   \n",
       "30   2999.449116    1       1          2    0.016761  9.425205e-06   \n",
       "31  16035.762110    1       1          2    0.005762  1.922510e-06   \n",
       "32   2999.449116    1       1          2    0.010610  3.853366e-06   \n",
       "33  16035.762110    1       1          2    0.005707  2.087379e-06   \n",
       "34  16035.762110    1       1          2    0.020240  1.072401e-05   \n",
       "35  16035.762110    1       1          2    0.010636  5.405016e-06   \n",
       "36   5446.539082    1       1          2    0.006431  2.620111e-06   \n",
       "37   5446.539082    1       1          2    0.005212  1.363254e-06   \n",
       "38   4449.367491    1       1          2    0.007613  3.230593e-06   \n",
       "39   5681.109779    1       1          2    0.008031  3.082793e-06   \n",
       "40   5681.109779    1       1          2    0.008189  3.604109e-06   \n",
       "41   4822.119467    1       1          2    0.003240  6.713225e-07   \n",
       "42   4822.119467    1       1          2    0.011110  5.573913e-06   \n",
       "43   4822.119467    1       1          2    0.005601  1.744649e-06   \n",
       "44   4822.119467    1       1          2    0.011433  4.783164e-06   \n",
       "45   4822.119467    1       1          2    0.005011  1.712171e-06   \n",
       "46   4822.119467    1       1          2    0.006360  2.376282e-06   \n",
       "47   4822.119467    1       1          2    0.007648  3.404769e-06   \n",
       "48   4601.126349    1       1          2    0.004811  1.173189e-06   \n",
       "49   5487.706734    1       1          2    0.005630  1.713057e-06   \n",
       "50   4478.321578    1       1          2    0.026402  2.467579e-05   \n",
       "51   4478.321578    1       1          2    0.013817  8.517618e-06   \n",
       "52   4163.686114    1       1          2    0.051295  2.883058e-05   \n",
       "53  16035.762110    1       1          2    0.043032  2.586476e-05   \n",
       "54  16035.762110    1       1          2    0.026399  1.296732e-05   \n",
       "55  16035.762110    1       1          2    0.027111  1.351374e-05   \n",
       "56   4822.119467    1       1          2    0.172410  1.963038e-04   \n",
       "57   4822.119467    1       1          2    0.038288  3.822519e-05   \n",
       "\n",
       "                      geometry          NN     NN_dist  \n",
       "0   POINT (-16.27319 12.56237)  6058226279    2.216606  \n",
       "1   POINT (-14.93619 12.89216)  6029307183   45.594167  \n",
       "2   POINT (-16.98703 14.44528)  4998093094   55.383696  \n",
       "3   POINT (-16.07613 14.16038)  2201506815   55.754910  \n",
       "4   POINT (-15.54760 14.10042)  3474499811   66.927870  \n",
       "5   POINT (-16.92615 14.78062)  1697006012   23.047883  \n",
       "6   POINT (-17.35639 14.75196)  1901689169    5.826006  \n",
       "7   POINT (-16.81721 14.94581)  6032060028   88.156089  \n",
       "8   POINT (-16.22779 14.65372)  6040927878   41.930884  \n",
       "9   POINT (-15.88776 14.86030)  3449495495   28.431974  \n",
       "10  POINT (-16.49043 16.00972)  3990543961   30.501908  \n",
       "11  POINT (-16.44247 16.04823)  8972391475   76.235638  \n",
       "12  POINT (-13.67026 13.77069)  3418418812   13.729478  \n",
       "13  POINT (-16.22514 15.62090)  1983641803   29.090625  \n",
       "14  POINT (-16.26448 12.53737)  6014451367   61.273348  \n",
       "15  POINT (-14.96104 12.89576)  6027163276   23.270139  \n",
       "16  POINT (-13.66859 13.75522)  2833577858  216.111092  \n",
       "17  POINT (-16.92748 14.39850)  4656728818  140.803095  \n",
       "18  POINT (-17.01607 14.46076)  6045659373   27.871739  \n",
       "19  POINT (-17.05586 14.47764)  5528866190   64.826632  \n",
       "20  POINT (-17.01885 14.48305)  6027939517   24.581971  \n",
       "21  POINT (-17.04249 14.48473)  6031093257  273.489784  \n",
       "22  POINT (-17.02641 14.49189)  1883155712  129.540762  \n",
       "23  POINT (-16.12870 14.16324)  6026417971  287.396023  \n",
       "24  POINT (-16.09028 14.18556)  6031245697   49.284838  \n",
       "25  POINT (-17.50391 14.74632)  7493947593   15.922254  \n",
       "26  POINT (-16.90908 14.74696)  1859359090  107.065710  \n",
       "27  POINT (-17.23996 14.76755)  6053816462   52.284317  \n",
       "28  POINT (-17.23392 14.77603)  6027530676   16.433933  \n",
       "29  POINT (-17.09863 14.77747)  2988435647   89.468532  \n",
       "30  POINT (-17.12943 14.77851)  1332801944  544.912838  \n",
       "31  POINT (-17.24231 14.78338)  6053825179   85.053967  \n",
       "32  POINT (-17.09417 14.78287)  2988435792  448.688952  \n",
       "33  POINT (-17.24905 14.78994)  3036877534   83.358619  \n",
       "34  POINT (-17.22451 14.78866)  6056472223   33.845239  \n",
       "35  POINT (-17.33198 14.80167)  7460241128  101.985612  \n",
       "36  POINT (-16.90672 14.82139)  6028595154   16.068266  \n",
       "37  POINT (-16.93440 14.82745)  4053739078   53.575602  \n",
       "38  POINT (-16.79378 14.94819)  4071261250  101.308205  \n",
       "39  POINT (-16.25612 14.65646)  6014815762  492.710533  \n",
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       "55  POINT (-17.22539 14.83037)  7357630367  149.183632  \n",
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       "57  POINT (-15.85781 14.92693)  6026834850   10.829250  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HDurban_snap = gn.pandana_snap_c(gTime, HDurban_pt, source_crs = 'epsg:4326', target_crs = 'epsg:31028', add_dist_to_node_col = True)\n",
    "HDurban_snap.to_csv('SEN-Cdrive/outputs/HDurban_snap.csv', index=True)\n",
    "HDurban_snap\n",
    "# The NN_dist is in seconds and should be very short for HDurban since they are all on the road network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
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       "        Unnamed_ 0     mgrs_code    type  \\\n",
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       "125885      125885  28QED6438_03  hamlet   \n",
       "\n",
       "                                      GlobalID  Shape_Leng  Shape_Area  \\\n",
       "0       {ED2CCDD5-C78F-40B6-A18A-3A01B61A4998}    0.004314    0.000001   \n",
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       "...                                        ...         ...         ...   \n",
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       "125885  {05114E26-63E9-4384-9F9E-8533D8AE2F1F}    0.007869    0.000004   \n",
       "\n",
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       "...                            ...         ...          ...  \n",
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       "125885  POINT (-14.39511 16.63155)  7798350276   708.512647  \n",
       "\n",
       "[125886 rows x 9 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hamlet_snap = gn.pandana_snap_c(gTime, hamlet_pt, source_crs = 'epsg:4326', target_crs = 'epsg:31028', add_dist_to_node_col = True)\n",
    "hamlet_snap.to_csv('SEN-Cdrive/outputs/hamlet_snap.csv', index=True)\n",
    "hamlet_snap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start: Mon Dec 27 13:15:42 2021\n",
      "\n",
      "\n",
      "end: Mon Dec 27 13:38:34 2021\n",
      "\n",
      "--- processing complete\n"
     ]
    }
   ],
   "source": [
    "print('start: %s\\n' % time.ctime())\n",
    "ag_snap = gn.pandana_snap_c(gTime, agriculture, source_crs = 'epsg:4326', target_crs = 'epsg:31028', add_dist_to_node_col = True)\n",
    "ag_snap.to_csv('SEN-Cdrive/outputs/ag_snap.csv', index=True)\n",
    "ag_snap\n",
    "print('\\nend: %s' % time.ctime())\n",
    "print('\\n--- processing complete')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create travel time values for the road nodes nearest to each service.\n",
    "\n",
    "Using calculate_OD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If starting a new session, load from file.\n",
    "HDurban_snap = os.path.join(out_pth, \"HDurban_snap.csv\")\n",
    "HDurban_snap = pd.read_csv(HDurban_snap)\n",
    "hamlet_snap = os.path.join(out_pth, \"hamlet_snap.csv\")\n",
    "hamlet_snap = pd.read_csv(hamlet_snap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ag_snap = os.path.join(out_pth, \"ag_snap.csv\")\n",
    "ag_snap = pd.read_csv(ag_snap)\n",
    "gTime = nx.read_gpickle(\"SEN-Cdrive/outputs/gTime.pickle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "      <td>6</td>\n",
       "      <td>76</td>\n",
       "      <td>28PBB4632_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>226.850348</td>\n",
       "      <td>3.637718e+06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4.771359</td>\n",
       "      <td>1.905124e-02</td>\n",
       "      <td>POINT (-17.35638706164378 14.751962825615575)</td>\n",
       "      <td>1901689169</td>\n",
       "      <td>5.826006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>80</td>\n",
       "      <td>28PCB0453_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>19.580942</td>\n",
       "      <td>8.712281e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4449.367491</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.611345</td>\n",
       "      <td>1.645460e-03</td>\n",
       "      <td>POINT (-16.81720508223022 14.94580992504745)</td>\n",
       "      <td>6032060028</td>\n",
       "      <td>88.156089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>84</td>\n",
       "      <td>28PCB6720_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>23.634834</td>\n",
       "      <td>1.342721e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.689064</td>\n",
       "      <td>1.983306e-03</td>\n",
       "      <td>POINT (-16.227786747221682 14.653718853747844)</td>\n",
       "      <td>6040927878</td>\n",
       "      <td>41.930884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>98</td>\n",
       "      <td>28PDB0443_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>196.802191</td>\n",
       "      <td>9.490037e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2575.818720</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.094788</td>\n",
       "      <td>1.653195e-02</td>\n",
       "      <td>POINT (-15.887758561636817 14.860301673230607)</td>\n",
       "      <td>3449495495</td>\n",
       "      <td>28.431974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>123</td>\n",
       "      <td>28QCC4070_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>9.174147</td>\n",
       "      <td>1.077744e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11747.618988</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.212800</td>\n",
       "      <td>7.746230e-04</td>\n",
       "      <td>POINT (-16.490434722674546 16.009724520231487)</td>\n",
       "      <td>3990543961</td>\n",
       "      <td>30.501908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>125</td>\n",
       "      <td>28QCC4573_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>13.701781</td>\n",
       "      <td>7.519136e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.612294</td>\n",
       "      <td>1.157396e-03</td>\n",
       "      <td>POINT (-16.44247212109952 16.048232088709874)</td>\n",
       "      <td>8972391475</td>\n",
       "      <td>76.235638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>151</td>\n",
       "      <td>28PFA4322_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>26.974183</td>\n",
       "      <td>1.207991e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.686130</td>\n",
       "      <td>2.255116e-03</td>\n",
       "      <td>POINT (-13.670259928888687 13.770692647360004)</td>\n",
       "      <td>3418418812</td>\n",
       "      <td>13.729478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>157</td>\n",
       "      <td>28PCC6827_01</td>\n",
       "      <td>bua</td>\n",
       "      <td>20.814212</td>\n",
       "      <td>9.576882e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.494002</td>\n",
       "      <td>1.754369e-03</td>\n",
       "      <td>POINT (-16.22513510721168 15.620904283746231)</td>\n",
       "      <td>1983641803</td>\n",
       "      <td>29.090625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>160</td>\n",
       "      <td>28PCU6286_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.105280</td>\n",
       "      <td>2.093665e+02</td>\n",
       "      <td>5.479664</td>\n",
       "      <td>6852.183502</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.021230</td>\n",
       "      <td>8.758142e-06</td>\n",
       "      <td>POINT (-16.264484462734323 12.537366413261045)</td>\n",
       "      <td>6014451367</td>\n",
       "      <td>61.273348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>168</td>\n",
       "      <td>28PEV0425_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.164601</td>\n",
       "      <td>2.503226e+02</td>\n",
       "      <td>5.371455</td>\n",
       "      <td>4124.872441</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.019495</td>\n",
       "      <td>1.371013e-05</td>\n",
       "      <td>POINT (-14.961042651677891 12.895762457094666)</td>\n",
       "      <td>6027163276</td>\n",
       "      <td>23.270139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>173</td>\n",
       "      <td>28PFA4321_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036757</td>\n",
       "      <td>5.002239e+01</td>\n",
       "      <td>3.131679</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006776</td>\n",
       "      <td>3.072012e-06</td>\n",
       "      <td>POINT (-13.668587614564068 13.755222178122034)</td>\n",
       "      <td>2833577858</td>\n",
       "      <td>216.111092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>174</td>\n",
       "      <td>28PBA9292_06</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.023177</td>\n",
       "      <td>1.846325e+01</td>\n",
       "      <td>13.239334</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005371</td>\n",
       "      <td>1.942589e-06</td>\n",
       "      <td>POINT (-16.927480646349732 14.39849858186184)</td>\n",
       "      <td>4656728818</td>\n",
       "      <td>140.803095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>175</td>\n",
       "      <td>28PBA8299_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>1.655101e+01</td>\n",
       "      <td>4.715519</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004799</td>\n",
       "      <td>1.167113e-06</td>\n",
       "      <td>POINT (-17.016066265874734 14.460756350154803)</td>\n",
       "      <td>6045659373</td>\n",
       "      <td>27.871739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>176</td>\n",
       "      <td>28PBB7801_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017578</td>\n",
       "      <td>3.044826e+01</td>\n",
       "      <td>11.659853</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004813</td>\n",
       "      <td>1.473665e-06</td>\n",
       "      <td>POINT (-17.055862944965526 14.477635627799748)</td>\n",
       "      <td>5528866190</td>\n",
       "      <td>64.826632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>177</td>\n",
       "      <td>28PBB8202_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.033487</td>\n",
       "      <td>3.486522e+01</td>\n",
       "      <td>7.892879</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>2.807464e-06</td>\n",
       "      <td>POINT (-17.018846969475057 14.483053711062894)</td>\n",
       "      <td>6027939517</td>\n",
       "      <td>24.581971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>178</td>\n",
       "      <td>28PBB7902_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.188962</td>\n",
       "      <td>2.698936e+02</td>\n",
       "      <td>9.563365</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.030043</td>\n",
       "      <td>1.584495e-05</td>\n",
       "      <td>POINT (-17.042492216832404 14.48472898603413)</td>\n",
       "      <td>6031093257</td>\n",
       "      <td>273.489784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>179</td>\n",
       "      <td>28PBB8103_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.152780</td>\n",
       "      <td>2.366904e+02</td>\n",
       "      <td>9.538024</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.029995</td>\n",
       "      <td>1.281388e-05</td>\n",
       "      <td>POINT (-17.026406509846662 14.49188592573409)</td>\n",
       "      <td>1883155712</td>\n",
       "      <td>129.540762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>182</td>\n",
       "      <td>28PCA7866_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.009282</td>\n",
       "      <td>1.921189e+01</td>\n",
       "      <td>8.378629</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003274</td>\n",
       "      <td>7.770706e-07</td>\n",
       "      <td>POINT (-16.12870301954371 14.163238160099032)</td>\n",
       "      <td>6026417971</td>\n",
       "      <td>287.396023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>184</td>\n",
       "      <td>28PCA8268_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.026723</td>\n",
       "      <td>3.108315e+01</td>\n",
       "      <td>5.292360</td>\n",
       "      <td>6539.609258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006861</td>\n",
       "      <td>2.237697e-06</td>\n",
       "      <td>POINT (-16.090276652783288 14.185562094447294)</td>\n",
       "      <td>6031245697</td>\n",
       "      <td>49.284838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>197</td>\n",
       "      <td>28PBB3031_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036793</td>\n",
       "      <td>2.190752e+02</td>\n",
       "      <td>15.925017</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007562</td>\n",
       "      <td>3.088678e-06</td>\n",
       "      <td>POINT (-17.503912092775586 14.746318221560271)</td>\n",
       "      <td>7493947593</td>\n",
       "      <td>15.922254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>199</td>\n",
       "      <td>28PBB9431_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.017802</td>\n",
       "      <td>3.757302e+01</td>\n",
       "      <td>6.049956</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004718</td>\n",
       "      <td>1.494350e-06</td>\n",
       "      <td>POINT (-16.909081994152583 14.746958369151947)</td>\n",
       "      <td>1859359090</td>\n",
       "      <td>107.065710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>201</td>\n",
       "      <td>28PBB5833_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.044133</td>\n",
       "      <td>6.815012e+01</td>\n",
       "      <td>15.771149</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008892</td>\n",
       "      <td>3.704665e-06</td>\n",
       "      <td>POINT (-17.23995849720513 14.767547644151895)</td>\n",
       "      <td>6053816462</td>\n",
       "      <td>52.284317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>202</td>\n",
       "      <td>28PBB5934_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.067703</td>\n",
       "      <td>6.689919e+01</td>\n",
       "      <td>16.463440</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.012549</td>\n",
       "      <td>5.684528e-06</td>\n",
       "      <td>POINT (-17.23391993155635 14.77602519637424)</td>\n",
       "      <td>6027530676</td>\n",
       "      <td>16.433933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>203</td>\n",
       "      <td>28PBB7434_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024692</td>\n",
       "      <td>6.194532e+01</td>\n",
       "      <td>8.691752</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005714</td>\n",
       "      <td>2.072792e-06</td>\n",
       "      <td>POINT (-17.098633451710782 14.77747413510043)</td>\n",
       "      <td>2988435647</td>\n",
       "      <td>89.468532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>204</td>\n",
       "      <td>28PBB7034_07</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.112259</td>\n",
       "      <td>1.692285e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.016761</td>\n",
       "      <td>9.425205e-06</td>\n",
       "      <td>POINT (-17.129431186301037 14.778506781574904)</td>\n",
       "      <td>1332801944</td>\n",
       "      <td>544.912838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>31</td>\n",
       "      <td>206</td>\n",
       "      <td>28PBB5835_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.022898</td>\n",
       "      <td>9.636268e+00</td>\n",
       "      <td>18.883526</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005762</td>\n",
       "      <td>1.922510e-06</td>\n",
       "      <td>POINT (-17.242305601017154 14.783375368548443)</td>\n",
       "      <td>6053825179</td>\n",
       "      <td>85.053967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>32</td>\n",
       "      <td>208</td>\n",
       "      <td>28PBB7435_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.045895</td>\n",
       "      <td>7.314733e+01</td>\n",
       "      <td>9.383175</td>\n",
       "      <td>2999.449116</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010610</td>\n",
       "      <td>3.853366e-06</td>\n",
       "      <td>POINT (-17.094173826957192 14.782872880683293)</td>\n",
       "      <td>2988435792</td>\n",
       "      <td>448.688952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>33</td>\n",
       "      <td>209</td>\n",
       "      <td>28PBB5736_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.024862</td>\n",
       "      <td>2.599556e+01</td>\n",
       "      <td>18.950196</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005707</td>\n",
       "      <td>2.087379e-06</td>\n",
       "      <td>POINT (-17.249054064042234 14.789944283803916)</td>\n",
       "      <td>3036877534</td>\n",
       "      <td>83.358619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34</td>\n",
       "      <td>210</td>\n",
       "      <td>28PBB6036_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.127726</td>\n",
       "      <td>2.177392e+02</td>\n",
       "      <td>18.371827</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.020240</td>\n",
       "      <td>1.072401e-05</td>\n",
       "      <td>POINT (-17.224509034146617 14.78865536663635)</td>\n",
       "      <td>6056472223</td>\n",
       "      <td>33.845239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>211</td>\n",
       "      <td>28PBB4937_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.064379</td>\n",
       "      <td>5.965873e+02</td>\n",
       "      <td>7.559833</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.010636</td>\n",
       "      <td>5.405016e-06</td>\n",
       "      <td>POINT (-17.33197897874605 14.801673118686626)</td>\n",
       "      <td>7460241128</td>\n",
       "      <td>101.985612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>36</td>\n",
       "      <td>213</td>\n",
       "      <td>28PBB9439_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.031203</td>\n",
       "      <td>6.360090e+01</td>\n",
       "      <td>6.593517</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006431</td>\n",
       "      <td>2.620111e-06</td>\n",
       "      <td>POINT (-16.906716646509395 14.821388297685347)</td>\n",
       "      <td>6028595154</td>\n",
       "      <td>16.068266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>37</td>\n",
       "      <td>214</td>\n",
       "      <td>28PBB9140_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.016236</td>\n",
       "      <td>3.369405e+01</td>\n",
       "      <td>7.070007</td>\n",
       "      <td>5446.539082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005212</td>\n",
       "      <td>1.363254e-06</td>\n",
       "      <td>POINT (-16.93440097090104 14.827449770877049)</td>\n",
       "      <td>4053739078</td>\n",
       "      <td>53.575602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>216</td>\n",
       "      <td>28PCB0753_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.038454</td>\n",
       "      <td>2.791577e+01</td>\n",
       "      <td>4.990843</td>\n",
       "      <td>4449.367491</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007613</td>\n",
       "      <td>3.230593e-06</td>\n",
       "      <td>POINT (-16.793775813770107 14.948188044266814)</td>\n",
       "      <td>4071261250</td>\n",
       "      <td>101.308205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>39</td>\n",
       "      <td>218</td>\n",
       "      <td>28PCB6420_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.036734</td>\n",
       "      <td>5.628131e+01</td>\n",
       "      <td>5.323107</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008031</td>\n",
       "      <td>3.082793e-06</td>\n",
       "      <td>POINT (-16.256116818111135 14.656461506543518)</td>\n",
       "      <td>6014815762</td>\n",
       "      <td>492.710533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>40</td>\n",
       "      <td>219</td>\n",
       "      <td>28PCB6622_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.042953</td>\n",
       "      <td>7.583911e+01</td>\n",
       "      <td>7.330625</td>\n",
       "      <td>5681.109779</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.008189</td>\n",
       "      <td>3.604109e-06</td>\n",
       "      <td>POINT (-16.241253248843044 14.674992153284423)</td>\n",
       "      <td>6024430122</td>\n",
       "      <td>65.929413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>41</td>\n",
       "      <td>223</td>\n",
       "      <td>28PDB0035_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.007997</td>\n",
       "      <td>1.721998e+01</td>\n",
       "      <td>12.119414</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.003240</td>\n",
       "      <td>6.713225e-07</td>\n",
       "      <td>POINT (-15.924404585230247 14.79008802267149)</td>\n",
       "      <td>8229317581</td>\n",
       "      <td>46.096276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>42</td>\n",
       "      <td>224</td>\n",
       "      <td>28PCB9937_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.066384</td>\n",
       "      <td>1.701381e+02</td>\n",
       "      <td>10.443704</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>5.573913e-06</td>\n",
       "      <td>POINT (-15.933785288853453 14.809426960267158)</td>\n",
       "      <td>6027834438</td>\n",
       "      <td>208.336925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>226</td>\n",
       "      <td>28PDB1139_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020778</td>\n",
       "      <td>2.617514e+01</td>\n",
       "      <td>10.677935</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005601</td>\n",
       "      <td>1.744649e-06</td>\n",
       "      <td>POINT (-15.82161911516783 14.826628245382166)</td>\n",
       "      <td>6024894515</td>\n",
       "      <td>194.366522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>227</td>\n",
       "      <td>28PDB1139_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.056959</td>\n",
       "      <td>8.547818e+01</td>\n",
       "      <td>10.874058</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011433</td>\n",
       "      <td>4.783164e-06</td>\n",
       "      <td>POINT (-15.824145139116334 14.826896103769105)</td>\n",
       "      <td>6024894530</td>\n",
       "      <td>44.896345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>45</td>\n",
       "      <td>228</td>\n",
       "      <td>28PDB1139_03</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020389</td>\n",
       "      <td>1.425154e+01</td>\n",
       "      <td>10.553416</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005011</td>\n",
       "      <td>1.712171e-06</td>\n",
       "      <td>POINT (-15.819773868082187 14.82763603774496)</td>\n",
       "      <td>6024894513</td>\n",
       "      <td>214.531196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>46</td>\n",
       "      <td>229</td>\n",
       "      <td>28PCB9741_04</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.028295</td>\n",
       "      <td>2.806345e+01</td>\n",
       "      <td>9.374555</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006360</td>\n",
       "      <td>2.376282e-06</td>\n",
       "      <td>POINT (-15.956248013051251 14.84813630510084)</td>\n",
       "      <td>6031993937</td>\n",
       "      <td>26.294758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>47</td>\n",
       "      <td>230</td>\n",
       "      <td>28PDB0149_01</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.040534</td>\n",
       "      <td>4.546143e+01</td>\n",
       "      <td>6.408090</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.007648</td>\n",
       "      <td>3.404769e-06</td>\n",
       "      <td>POINT (-15.920443499962804 14.914499169364376)</td>\n",
       "      <td>8200298999</td>\n",
       "      <td>237.813187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>48</td>\n",
       "      <td>237</td>\n",
       "      <td>28PCC6924_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>9.612921e+00</td>\n",
       "      <td>5.051494</td>\n",
       "      <td>4601.126349</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004811</td>\n",
       "      <td>1.173189e-06</td>\n",
       "      <td>POINT (-16.217456240770417 15.597199756480478)</td>\n",
       "      <td>1968458114</td>\n",
       "      <td>56.750510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>49</td>\n",
       "      <td>244</td>\n",
       "      <td>28QCC4877_02</td>\n",
       "      <td>hamlet</td>\n",
       "      <td>0.020283</td>\n",
       "      <td>1.279428e+01</td>\n",
       "      <td>4.109954</td>\n",
       "      <td>5487.706734</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.005630</td>\n",
       "      <td>1.713057e-06</td>\n",
       "      <td>POINT (-16.416588195364064 16.071912118977373)</td>\n",
       "      <td>1936967272</td>\n",
       "      <td>763.622470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>50</td>\n",
       "      <td>274</td>\n",
       "      <td>28PFA3822_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.295219</td>\n",
       "      <td>5.353027e+02</td>\n",
       "      <td>4.677464</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026402</td>\n",
       "      <td>2.467579e-05</td>\n",
       "      <td>POINT (-13.714783248440478 13.771220759716533)</td>\n",
       "      <td>3496518021</td>\n",
       "      <td>258.893631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>51</td>\n",
       "      <td>275</td>\n",
       "      <td>28PFA4124_01</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.101893</td>\n",
       "      <td>1.886798e+02</td>\n",
       "      <td>4.089369</td>\n",
       "      <td>4478.321578</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.013817</td>\n",
       "      <td>8.517618e-06</td>\n",
       "      <td>POINT (-13.69532688091379 13.783265672958317)</td>\n",
       "      <td>6027615161</td>\n",
       "      <td>29.882395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>278</td>\n",
       "      <td>28PBA8299_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.343841</td>\n",
       "      <td>6.259307e+02</td>\n",
       "      <td>5.307602</td>\n",
       "      <td>4163.686114</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.051295</td>\n",
       "      <td>2.883058e-05</td>\n",
       "      <td>POINT (-17.020742566008337 14.46138641364398)</td>\n",
       "      <td>6027276892</td>\n",
       "      <td>23.453107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>53</td>\n",
       "      <td>287</td>\n",
       "      <td>28PBB5835_05</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.308017</td>\n",
       "      <td>3.190239e+02</td>\n",
       "      <td>17.747726</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.043032</td>\n",
       "      <td>2.586476e-05</td>\n",
       "      <td>POINT (-17.245528396017207 14.782219244270532)</td>\n",
       "      <td>6041228287</td>\n",
       "      <td>40.406566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>54</td>\n",
       "      <td>288</td>\n",
       "      <td>28PBB5936_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.154444</td>\n",
       "      <td>2.000646e+02</td>\n",
       "      <td>20.407153</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.026399</td>\n",
       "      <td>1.296732e-05</td>\n",
       "      <td>POINT (-17.23454728899848 14.795909517565944)</td>\n",
       "      <td>5536661253</td>\n",
       "      <td>24.430550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>55</td>\n",
       "      <td>289</td>\n",
       "      <td>28PBB6040_03</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.160911</td>\n",
       "      <td>2.663758e+02</td>\n",
       "      <td>21.657425</td>\n",
       "      <td>16035.762110</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.027111</td>\n",
       "      <td>1.351374e-05</td>\n",
       "      <td>POINT (-17.225385101570456 14.830374516240026)</td>\n",
       "      <td>7357630367</td>\n",
       "      <td>149.183632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>56</td>\n",
       "      <td>297</td>\n",
       "      <td>28PCB9642_02</td>\n",
       "      <td>ssa</td>\n",
       "      <td>2.337009</td>\n",
       "      <td>3.504073e+03</td>\n",
       "      <td>11.801961</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.172410</td>\n",
       "      <td>1.963038e-04</td>\n",
       "      <td>POINT (-15.9651353582649 14.85568825099391)</td>\n",
       "      <td>8178147277</td>\n",
       "      <td>13.505685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>57</td>\n",
       "      <td>298</td>\n",
       "      <td>28PDB0750_04</td>\n",
       "      <td>ssa</td>\n",
       "      <td>0.454997</td>\n",
       "      <td>5.968164e+02</td>\n",
       "      <td>11.240426</td>\n",
       "      <td>4822.119467</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.038288</td>\n",
       "      <td>3.822519e-05</td>\n",
       "      <td>POINT (-15.85780585273177 14.926926620823643)</td>\n",
       "      <td>6026834850</td>\n",
       "      <td>10.829250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0  Unnamed_ 0     mgrs_code    type    AREA_GEO           SUM  \\\n",
       "0            0           1  28PCU6189_01     bua   27.151434  1.860466e+05   \n",
       "1            1           8  28PEV0625_01     bua   25.799549  1.064198e+05   \n",
       "2            2          37  28PBA8597_01     bua   81.242354  3.382677e+05   \n",
       "3            3          47  28PCA8365_01     bua   42.134069  2.755403e+05   \n",
       "4            4          56  28PDA4058_01     bua   11.123881  5.186398e+04   \n",
       "5            5          75  28PBB9234_01     bua   53.453391  2.911360e+05   \n",
       "6            6          76  28PBB4632_01     bua  226.850348  3.637718e+06   \n",
       "7            7          80  28PCB0453_01     bua   19.580942  8.712281e+04   \n",
       "8            8          84  28PCB6720_01     bua   23.634834  1.342721e+05   \n",
       "9            9          98  28PDB0443_01     bua  196.802191  9.490037e+05   \n",
       "10          10         123  28QCC4070_01     bua    9.174147  1.077744e+05   \n",
       "11          11         125  28QCC4573_01     bua   13.701781  7.519136e+04   \n",
       "12          12         151  28PFA4322_01     bua   26.974183  1.207991e+05   \n",
       "13          13         157  28PCC6827_01     bua   20.814212  9.576882e+04   \n",
       "14          14         160  28PCU6286_04  hamlet    0.105280  2.093665e+02   \n",
       "15          15         168  28PEV0425_03  hamlet    0.164601  2.503226e+02   \n",
       "16          16         173  28PFA4321_01  hamlet    0.036757  5.002239e+01   \n",
       "17          17         174  28PBA9292_06  hamlet    0.023177  1.846325e+01   \n",
       "18          18         175  28PBA8299_01  hamlet    0.013923  1.655101e+01   \n",
       "19          19         176  28PBB7801_01  hamlet    0.017578  3.044826e+01   \n",
       "20          20         177  28PBB8202_01  hamlet    0.033487  3.486522e+01   \n",
       "21          21         178  28PBB7902_04  hamlet    0.188962  2.698936e+02   \n",
       "22          22         179  28PBB8103_02  hamlet    0.152780  2.366904e+02   \n",
       "23          23         182  28PCA7866_01  hamlet    0.009282  1.921189e+01   \n",
       "24          24         184  28PCA8268_03  hamlet    0.026723  3.108315e+01   \n",
       "25          25         197  28PBB3031_01  hamlet    0.036793  2.190752e+02   \n",
       "26          26         199  28PBB9431_01  hamlet    0.017802  3.757302e+01   \n",
       "27          27         201  28PBB5833_07  hamlet    0.044133  6.815012e+01   \n",
       "28          28         202  28PBB5934_01  hamlet    0.067703  6.689919e+01   \n",
       "29          29         203  28PBB7434_03  hamlet    0.024692  6.194532e+01   \n",
       "30          30         204  28PBB7034_07  hamlet    0.112259  1.692285e+02   \n",
       "31          31         206  28PBB5835_03  hamlet    0.022898  9.636268e+00   \n",
       "32          32         208  28PBB7435_01  hamlet    0.045895  7.314733e+01   \n",
       "33          33         209  28PBB5736_02  hamlet    0.024862  2.599556e+01   \n",
       "34          34         210  28PBB6036_01  hamlet    0.127726  2.177392e+02   \n",
       "35          35         211  28PBB4937_01  hamlet    0.064379  5.965873e+02   \n",
       "36          36         213  28PBB9439_02  hamlet    0.031203  6.360090e+01   \n",
       "37          37         214  28PBB9140_02  hamlet    0.016236  3.369405e+01   \n",
       "38          38         216  28PCB0753_03  hamlet    0.038454  2.791577e+01   \n",
       "39          39         218  28PCB6420_04  hamlet    0.036734  5.628131e+01   \n",
       "40          40         219  28PCB6622_01  hamlet    0.042953  7.583911e+01   \n",
       "41          41         223  28PDB0035_01  hamlet    0.007997  1.721998e+01   \n",
       "42          42         224  28PCB9937_03  hamlet    0.066384  1.701381e+02   \n",
       "43          43         226  28PDB1139_01  hamlet    0.020778  2.617514e+01   \n",
       "44          44         227  28PDB1139_02  hamlet    0.056959  8.547818e+01   \n",
       "45          45         228  28PDB1139_03  hamlet    0.020389  1.425154e+01   \n",
       "46          46         229  28PCB9741_04  hamlet    0.028295  2.806345e+01   \n",
       "47          47         230  28PDB0149_01  hamlet    0.040534  4.546143e+01   \n",
       "48          48         237  28PCC6924_02  hamlet    0.013923  9.612921e+00   \n",
       "49          49         244  28QCC4877_02  hamlet    0.020283  1.279428e+01   \n",
       "50          50         274  28PFA3822_04     ssa    0.295219  5.353027e+02   \n",
       "51          51         275  28PFA4124_01     ssa    0.101893  1.886798e+02   \n",
       "52          52         278  28PBA8299_02     ssa    0.343841  6.259307e+02   \n",
       "53          53         287  28PBB5835_05     ssa    0.308017  3.190239e+02   \n",
       "54          54         288  28PBB5936_02     ssa    0.154444  2.000646e+02   \n",
       "55          55         289  28PBB6040_03     ssa    0.160911  2.663758e+02   \n",
       "56          56         297  28PCB9642_02     ssa    2.337009  3.504073e+03   \n",
       "57          57         298  28PDB0750_04     ssa    0.454997  5.968164e+02   \n",
       "\n",
       "    Total_Driv       WP_dens  urb  hd_urb  Urb_class  Shape_Leng  \\\n",
       "0     0.000000   6852.183502    1       1          2    0.671746   \n",
       "1     0.000000   4124.872441    1       1          2    0.718941   \n",
       "2     0.000000   4163.686114    1       1          2    2.303639   \n",
       "3     0.000000   6539.609258    1       1          2    1.070058   \n",
       "4     0.000000   4662.399756    1       1          2    0.298223   \n",
       "5     0.000000   5446.539082    1       1          2    1.468618   \n",
       "6     0.000000  16035.762110    1       1          2    4.771359   \n",
       "7     0.000000   4449.367491    1       1          2    0.611345   \n",
       "8     0.000000   5681.109779    1       1          2    0.689064   \n",
       "9     0.000000   2575.818720    1       1          2    3.094788   \n",
       "10    0.000000  11747.618988    1       1          2    0.212800   \n",
       "11    0.000000   5487.706734    1       1          2    0.612294   \n",
       "12    0.000000   4478.321578    1       1          2    0.686130   \n",
       "13    0.000000   4601.126349    1       1          2    0.494002   \n",
       "14    5.479664   6852.183502    1       1          2    0.021230   \n",
       "15    5.371455   4124.872441    1       1          2    0.019495   \n",
       "16    3.131679   4478.321578    1       1          2    0.006776   \n",
       "17   13.239334   4163.686114    1       1          2    0.005371   \n",
       "18    4.715519   4163.686114    1       1          2    0.004799   \n",
       "19   11.659853   4163.686114    1       1          2    0.004813   \n",
       "20    7.892879   4163.686114    1       1          2    0.008101   \n",
       "21    9.563365   4163.686114    1       1          2    0.030043   \n",
       "22    9.538024   4163.686114    1       1          2    0.029995   \n",
       "23    8.378629   6539.609258    1       1          2    0.003274   \n",
       "24    5.292360   6539.609258    1       1          2    0.006861   \n",
       "25   15.925017  16035.762110    1       1          2    0.007562   \n",
       "26    6.049956   5446.539082    1       1          2    0.004718   \n",
       "27   15.771149  16035.762110    1       1          2    0.008892   \n",
       "28   16.463440  16035.762110    1       1          2    0.012549   \n",
       "29    8.691752   2999.449116    1       1          2    0.005714   \n",
       "30         NaN   2999.449116    1       1          2    0.016761   \n",
       "31   18.883526  16035.762110    1       1          2    0.005762   \n",
       "32    9.383175   2999.449116    1       1          2    0.010610   \n",
       "33   18.950196  16035.762110    1       1          2    0.005707   \n",
       "34   18.371827  16035.762110    1       1          2    0.020240   \n",
       "35    7.559833  16035.762110    1       1          2    0.010636   \n",
       "36    6.593517   5446.539082    1       1          2    0.006431   \n",
       "37    7.070007   5446.539082    1       1          2    0.005212   \n",
       "38    4.990843   4449.367491    1       1          2    0.007613   \n",
       "39    5.323107   5681.109779    1       1          2    0.008031   \n",
       "40    7.330625   5681.109779    1       1          2    0.008189   \n",
       "41   12.119414   4822.119467    1       1          2    0.003240   \n",
       "42   10.443704   4822.119467    1       1          2    0.011110   \n",
       "43   10.677935   4822.119467    1       1          2    0.005601   \n",
       "44   10.874058   4822.119467    1       1          2    0.011433   \n",
       "45   10.553416   4822.119467    1       1          2    0.005011   \n",
       "46    9.374555   4822.119467    1       1          2    0.006360   \n",
       "47    6.408090   4822.119467    1       1          2    0.007648   \n",
       "48    5.051494   4601.126349    1       1          2    0.004811   \n",
       "49    4.109954   5487.706734    1       1          2    0.005630   \n",
       "50    4.677464   4478.321578    1       1          2    0.026402   \n",
       "51    4.089369   4478.321578    1       1          2    0.013817   \n",
       "52    5.307602   4163.686114    1       1          2    0.051295   \n",
       "53   17.747726  16035.762110    1       1          2    0.043032   \n",
       "54   20.407153  16035.762110    1       1          2    0.026399   \n",
       "55   21.657425  16035.762110    1       1          2    0.027111   \n",
       "56   11.801961   4822.119467    1       1          2    0.172410   \n",
       "57   11.240426   4822.119467    1       1          2    0.038288   \n",
       "\n",
       "      Shape_Area                                        geometry          NN  \\\n",
       "0   2.258828e-03   POINT (-16.27318626010657 12.562367084144856)  6058226279   \n",
       "1   2.149259e-03  POINT (-14.936187613172205 12.892160925397892)  6029307183   \n",
       "2   6.813610e-03  POINT (-16.987028969206293 14.445279143289168)  4998093094   \n",
       "3   3.528274e-03  POINT (-16.076128475299285 14.160382012387636)  2201506815   \n",
       "4   9.311211e-04  POINT (-15.547596052646174 14.100419699131665)  3474499811   \n",
       "5   4.489114e-03  POINT (-16.926149059908756 14.780621967102865)  1697006012   \n",
       "6   1.905124e-02   POINT (-17.35638706164378 14.751962825615575)  1901689169   \n",
       "7   1.645460e-03    POINT (-16.81720508223022 14.94580992504745)  6032060028   \n",
       "8   1.983306e-03  POINT (-16.227786747221682 14.653718853747844)  6040927878   \n",
       "9   1.653195e-02  POINT (-15.887758561636817 14.860301673230607)  3449495495   \n",
       "10  7.746230e-04  POINT (-16.490434722674546 16.009724520231487)  3990543961   \n",
       "11  1.157396e-03   POINT (-16.44247212109952 16.048232088709874)  8972391475   \n",
       "12  2.255116e-03  POINT (-13.670259928888687 13.770692647360004)  3418418812   \n",
       "13  1.754369e-03   POINT (-16.22513510721168 15.620904283746231)  1983641803   \n",
       "14  8.758142e-06  POINT (-16.264484462734323 12.537366413261045)  6014451367   \n",
       "15  1.371013e-05  POINT (-14.961042651677891 12.895762457094666)  6027163276   \n",
       "16  3.072012e-06  POINT (-13.668587614564068 13.755222178122034)  2833577858   \n",
       "17  1.942589e-06   POINT (-16.927480646349732 14.39849858186184)  4656728818   \n",
       "18  1.167113e-06  POINT (-17.016066265874734 14.460756350154803)  6045659373   \n",
       "19  1.473665e-06  POINT (-17.055862944965526 14.477635627799748)  5528866190   \n",
       "20  2.807464e-06  POINT (-17.018846969475057 14.483053711062894)  6027939517   \n",
       "21  1.584495e-05   POINT (-17.042492216832404 14.48472898603413)  6031093257   \n",
       "22  1.281388e-05   POINT (-17.026406509846662 14.49188592573409)  1883155712   \n",
       "23  7.770706e-07   POINT (-16.12870301954371 14.163238160099032)  6026417971   \n",
       "24  2.237697e-06  POINT (-16.090276652783288 14.185562094447294)  6031245697   \n",
       "25  3.088678e-06  POINT (-17.503912092775586 14.746318221560271)  7493947593   \n",
       "26  1.494350e-06  POINT (-16.909081994152583 14.746958369151947)  1859359090   \n",
       "27  3.704665e-06   POINT (-17.23995849720513 14.767547644151895)  6053816462   \n",
       "28  5.684528e-06    POINT (-17.23391993155635 14.77602519637424)  6027530676   \n",
       "29  2.072792e-06   POINT (-17.098633451710782 14.77747413510043)  2988435647   \n",
       "30  9.425205e-06  POINT (-17.129431186301037 14.778506781574904)  1332801944   \n",
       "31  1.922510e-06  POINT (-17.242305601017154 14.783375368548443)  6053825179   \n",
       "32  3.853366e-06  POINT (-17.094173826957192 14.782872880683293)  2988435792   \n",
       "33  2.087379e-06  POINT (-17.249054064042234 14.789944283803916)  3036877534   \n",
       "34  1.072401e-05   POINT (-17.224509034146617 14.78865536663635)  6056472223   \n",
       "35  5.405016e-06   POINT (-17.33197897874605 14.801673118686626)  7460241128   \n",
       "36  2.620111e-06  POINT (-16.906716646509395 14.821388297685347)  6028595154   \n",
       "37  1.363254e-06   POINT (-16.93440097090104 14.827449770877049)  4053739078   \n",
       "38  3.230593e-06  POINT (-16.793775813770107 14.948188044266814)  4071261250   \n",
       "39  3.082793e-06  POINT (-16.256116818111135 14.656461506543518)  6014815762   \n",
       "40  3.604109e-06  POINT (-16.241253248843044 14.674992153284423)  6024430122   \n",
       "41  6.713225e-07   POINT (-15.924404585230247 14.79008802267149)  8229317581   \n",
       "42  5.573913e-06  POINT (-15.933785288853453 14.809426960267158)  6027834438   \n",
       "43  1.744649e-06   POINT (-15.82161911516783 14.826628245382166)  6024894515   \n",
       "44  4.783164e-06  POINT (-15.824145139116334 14.826896103769105)  6024894530   \n",
       "45  1.712171e-06   POINT (-15.819773868082187 14.82763603774496)  6024894513   \n",
       "46  2.376282e-06   POINT (-15.956248013051251 14.84813630510084)  6031993937   \n",
       "47  3.404769e-06  POINT (-15.920443499962804 14.914499169364376)  8200298999   \n",
       "48  1.173189e-06  POINT (-16.217456240770417 15.597199756480478)  1968458114   \n",
       "49  1.713057e-06  POINT (-16.416588195364064 16.071912118977373)  1936967272   \n",
       "50  2.467579e-05  POINT (-13.714783248440478 13.771220759716533)  3496518021   \n",
       "51  8.517618e-06   POINT (-13.69532688091379 13.783265672958317)  6027615161   \n",
       "52  2.883058e-05   POINT (-17.020742566008337 14.46138641364398)  6027276892   \n",
       "53  2.586476e-05  POINT (-17.245528396017207 14.782219244270532)  6041228287   \n",
       "54  1.296732e-05   POINT (-17.23454728899848 14.795909517565944)  5536661253   \n",
       "55  1.351374e-05  POINT (-17.225385101570456 14.830374516240026)  7357630367   \n",
       "56  1.963038e-04     POINT (-15.9651353582649 14.85568825099391)  8178147277   \n",
       "57  3.822519e-05   POINT (-15.85780585273177 14.926926620823643)  6026834850   \n",
       "\n",
       "       NN_dist  \n",
       "0     2.216606  \n",
       "1    45.594167  \n",
       "2    55.383696  \n",
       "3    55.754910  \n",
       "4    66.927870  \n",
       "5    23.047883  \n",
       "6     5.826006  \n",
       "7    88.156089  \n",
       "8    41.930884  \n",
       "9    28.431974  \n",
       "10   30.501908  \n",
       "11   76.235638  \n",
       "12   13.729478  \n",
       "13   29.090625  \n",
       "14   61.273348  \n",
       "15   23.270139  \n",
       "16  216.111092  \n",
       "17  140.803095  \n",
       "18   27.871739  \n",
       "19   64.826632  \n",
       "20   24.581971  \n",
       "21  273.489784  \n",
       "22  129.540762  \n",
       "23  287.396023  \n",
       "24   49.284838  \n",
       "25   15.922254  \n",
       "26  107.065710  \n",
       "27   52.284317  \n",
       "28   16.433933  \n",
       "29   89.468532  \n",
       "30  544.912838  \n",
       "31   85.053967  \n",
       "32  448.688952  \n",
       "33   83.358619  \n",
       "34   33.845239  \n",
       "35  101.985612  \n",
       "36   16.068266  \n",
       "37   53.575602  \n",
       "38  101.308205  \n",
       "39  492.710533  \n",
       "40   65.929413  \n",
       "41   46.096276  \n",
       "42  208.336925  \n",
       "43  194.366522  \n",
       "44   44.896345  \n",
       "45  214.531196  \n",
       "46   26.294758  \n",
       "47  237.813187  \n",
       "48   56.750510  \n",
       "49  763.622470  \n",
       "50  258.893631  \n",
       "51   29.882395  \n",
       "52   23.453107  \n",
       "53   40.406566  \n",
       "54   24.430550  \n",
       "55  149.183632  \n",
       "56   13.505685  \n",
       "57   10.829250  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HDurban_snap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We only need to find the origin-destination pairs for nodes closest to the origins and services,\n",
    "# and some nodes will be the nearest for more than one service (and definitely for multiple origins).\n",
    "list_hamlet = list(hamlet_snap.NN.unique())\n",
    "origins = list_hamlet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_ag = list(ag_snap.NN.unique())\n",
    "originslist = list_hamlet + list_ag\n",
    "origins = list(set(originslist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "650925"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Alternatively, we can try to run it with all possible road nodes. But that's likely too large.\n",
    "nodes_list = list(nodes.NN)\n",
    "len(nodes.NN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "dests = list(HDurban_snap.NN.unique()) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "637854"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(origins) # 637854 unique nearest nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "58"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dests) # 58 unique nearest nodes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(358284990, 5217543379, {'osmid': 59618174, 'ref': 'D 523', 'name': 'D 523', 'highway': 'unclassified', 'oneway': False, 'length': 33.127, 'time': 2.3851440000000004, 'mode': 'drive'})\n",
      "(358284990, 1888282175, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 12.832, 'time': 0.76992, 'mode': 'drive'})\n",
      "(358284990, 5329792467, {'osmid': 178482063, 'highway': 'tertiary', 'oneway': False, 'length': 48.781, 'time': 2.92686, 'mode': 'drive'})\n",
      "(358284993, 1888282575, {'osmid': 178470940, 'highway': 'tertiary', 'oneway': False, 'length': 126.577, 'time': 7.59462, 'mode': 'drive'})\n",
      "(358284993, 1888198886, {'osmid': 178470940, 'highway': 'tertiary', 'oneway': False, 'length': 120.578, 'time': 7.23468, 'mode': 'drive'})\n",
      "(358284994, 6424643487, {'osmid': 178470940, 'highway': 'tertiary', 'oneway': False, 'length': 46.582, 'time': 2.79492, 'mode': 'drive'})\n",
      "(358284994, 1888282618, {'osmid': 178470940, 'highway': 'tertiary', 'oneway': False, 'length': 53.36, 'time': 3.2016, 'mode': 'drive'})\n",
      "(358284995, 1888282666, {'osmid': 178470940, 'highway': 'tertiary', 'oneway': False, 'length': 73.745, 'time': 4.4247000000000005, 'mode': 'drive'})\n",
      "(358284995, 1888282669, {'osmid': 178470940, 'highway': 'tertiary', 'oneway': False, 'length': 63.931, 'time': 3.8358600000000003, 'mode': 'drive'})\n",
      "(358284997, 1888282780, {'osmid': 178470940, 'highway': 'tertiary', 'oneway': False, 'length': 175.337, 'time': 10.52022, 'mode': 'drive'})\n"
     ]
    }
   ],
   "source": [
    "gn.example_edge(gTime,10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "calculate_OD won't run if any of the edge times are null or zero. I think in this case it's edges that are so short that the time was very close to zero but still positive. So we'll reassign time values for those edges to a very small time. A more efficient way to do this would be to simplify junctions with the clean_network() tool, but that was throwing errors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G_edges = gn.edge_gdf_from_graph(gTime)\n",
    "len(G_edges.loc[G_edges['time'].isnull()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(G_edges.loc[G_edges['time']==0]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "fail_value = 999999999 # If there is no shortest path, the OD pair will be assigned the fail value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD = gn.calculate_OD(gTime, origins, dests, fail_value, weight = 'time')\n",
    "# Takes a few minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "MemoryError",
     "evalue": "Unable to allocate 247. GiB for an array with shape (61230, 541461) and data type float64",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mMemoryError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_19484/2644132179.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Let's also do a version from agriculture to the nearest hamlet.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mOD_agham\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcalculate_OD\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgTime\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlist_ag\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlist_hamlet\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfail_value\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mweight\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'time'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\.conda\\envs\\geo\\GOSTnets-master\\GOSTnets\\core.py\u001b[0m in \u001b[0;36mcalculate_OD\u001b[1;34m(G, origins, destinations, fail_value, weight, weighted_origins, one_way_roads_exist)\u001b[0m\n\u001b[0;32m   1235\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1236\u001b[0m         \u001b[1;31m#origins will be number or rows, destinations will be number of columns\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1237\u001b[1;33m         \u001b[0mOD\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0morigins\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdestinations\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1238\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1239\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mo\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0morigins\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mMemoryError\u001b[0m: Unable to allocate 247. GiB for an array with shape (61230, 541461) and data type float64"
     ]
    }
   ],
   "source": [
    "# Let's also do a version from agriculture to the nearest hamlet.\n",
    "OD_agham = gn.calculate_OD(gTime, list_ag, list_hamlet, fail_value, weight = 'time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_df = pd.DataFrame(OD, index = origins, columns = dests)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_agham = pd.DataFrame(OD_agham, index = list_ag, columns = list_hamlet)\n",
    "OD_agham.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 637854 entries, 3571449893 to 8925478824\n",
      "Data columns (total 58 columns):\n",
      " #   Column      Non-Null Count   Dtype  \n",
      "---  ------      --------------   -----  \n",
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      " 24  6031245697  637854 non-null  float64\n",
      " 25  7493947593  637854 non-null  float64\n",
      " 26  1859359090  637854 non-null  float64\n",
      " 27  6053816462  637854 non-null  float64\n",
      " 28  6027530676  637854 non-null  float64\n",
      " 29  2988435647  637854 non-null  float64\n",
      " 30  1332801944  637854 non-null  float64\n",
      " 31  6053825179  637854 non-null  float64\n",
      " 32  2988435792  637854 non-null  float64\n",
      " 33  3036877534  637854 non-null  float64\n",
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      " 40  6024430122  637854 non-null  float64\n",
      " 41  8229317581  637854 non-null  float64\n",
      " 42  6027834438  637854 non-null  float64\n",
      " 43  6024894515  637854 non-null  float64\n",
      " 44  6024894530  637854 non-null  float64\n",
      " 45  6024894513  637854 non-null  float64\n",
      " 46  6031993937  637854 non-null  float64\n",
      " 47  8200298999  637854 non-null  float64\n",
      " 48  1968458114  637854 non-null  float64\n",
      " 49  1936967272  637854 non-null  float64\n",
      " 50  3496518021  637854 non-null  float64\n",
      " 51  6027615161  637854 non-null  float64\n",
      " 52  6027276892  637854 non-null  float64\n",
      " 53  6041228287  637854 non-null  float64\n",
      " 54  5536661253  637854 non-null  float64\n",
      " 55  7357630367  637854 non-null  float64\n",
      " 56  8178147277  637854 non-null  float64\n",
      " 57  6026834850  637854 non-null  float64\n",
      "dtypes: float64(58)\n",
      "memory usage: 287.1 MB\n"
     ]
    }
   ],
   "source": [
    "OD_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "\n",
       "[5 rows x 58 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_df.tail()"
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  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
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       "\n",
       "[637854 rows x 58 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert to minutes and save to file.\n",
    "OD_min = OD_df[OD_df <fail_value] / 60\n",
    "OD_min.to_csv(os.path.join(out_pth, 'OD_allorigins.csv'))\n",
    "OD_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_agham = OD_ag-ham[OD_ag-ham <fail_value] / 60\n",
    "OD_agham.to_csv(os.path.join(out_pth, 'OD_ag-to-hamlet.csv'))\n",
    "OD_agham"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "6032060028    10\n",
      "6040927878    10\n",
      "3449495495    10\n",
      "3990543961    10\n",
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      "3418418812    10\n",
      "1983641803    10\n",
      "6014451367    10\n",
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      "2988435792    10\n",
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      "7460241128    10\n",
      "6028595154    10\n",
      "4053739078    10\n",
      "4071261250    10\n",
      "6014815762    10\n",
      "6024430122    10\n",
      "8229317581    10\n",
      "6027834438    10\n",
      "6024894515    10\n",
      "6024894530    10\n",
      "6024894513    10\n",
      "6031993937    10\n",
      "8200298999    10\n",
      "1968458114    10\n",
      "1936967272    10\n",
      "3496518021    10\n",
      "6027615161    10\n",
      "6027276892    10\n",
      "6041228287    10\n",
      "5536661253    10\n",
      "7357630367    10\n",
      "8178147277    10\n",
      "6026834850    10\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(OD_min.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(OD_agham.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
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       "<p>61230 rows × 58 columns</p>\n",
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       "8463584916  212.504322  211.976058  211.888519  169.499311  170.561891  \n",
       "8463593882  216.472532  215.944268  215.856728  173.258516  174.321097  \n",
       "9208004175  383.181186  382.652922  382.565383  352.555048  353.617628  \n",
       "8592243457  362.975412  362.447148  362.359608  263.056642  256.147616  \n",
       "\n",
       "[61230 rows x 58 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Factor of 1000\n",
    "OD_hamlet = OD_df.loc[list_hamlet,:]\n",
    "OD_hamlet = OD_hamlet[OD_hamlet < fail_value] / 60 \n",
    "OD_hamlet.to_csv(os.path.join(out_pth, 'OD_hamlet.csv'))\n",
    "OD_hamlet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6058226279    3\n",
      "6029307183    3\n",
      "4998093094    3\n",
      "2201506815    3\n",
      "3474499811    3\n",
      "1697006012    3\n",
      "1901689169    3\n",
      "6032060028    3\n",
      "6040927878    3\n",
      "3449495495    3\n",
      "3990543961    3\n",
      "8972391475    3\n",
      "3418418812    3\n",
      "1983641803    3\n",
      "6014451367    3\n",
      "6027163276    3\n",
      "2833577858    3\n",
      "4656728818    3\n",
      "6045659373    3\n",
      "5528866190    3\n",
      "6027939517    3\n",
      "6031093257    3\n",
      "1883155712    3\n",
      "6026417971    3\n",
      "6031245697    3\n",
      "7493947593    3\n",
      "1859359090    3\n",
      "6053816462    3\n",
      "6027530676    3\n",
      "2988435647    3\n",
      "1332801944    3\n",
      "6053825179    3\n",
      "2988435792    3\n",
      "3036877534    3\n",
      "6056472223    3\n",
      "7460241128    3\n",
      "6028595154    3\n",
      "4053739078    3\n",
      "4071261250    3\n",
      "6014815762    3\n",
      "6024430122    3\n",
      "8229317581    3\n",
      "6027834438    3\n",
      "6024894515    3\n",
      "6024894530    3\n",
      "6024894513    3\n",
      "6031993937    3\n",
      "8200298999    3\n",
      "1968458114    3\n",
      "1936967272    3\n",
      "3496518021    3\n",
      "6027615161    3\n",
      "6027276892    3\n",
      "6041228287    3\n",
      "5536661253    3\n",
      "7357630367    3\n",
      "8178147277    3\n",
      "6026834850    3\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(OD_hamlet.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>625851 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
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       "...                ...         ...         ...         ...         ...   \n",
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       "\n",
       "            1697006012  1901689169  6032060028  6040927878  3449495495  ...  \\\n",
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       "...                ...         ...         ...         ...         ...  ...   \n",
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       "\n",
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       "...                ...         ...         ...         ...         ...   \n",
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       "3651042508  262.685246  202.010991  603.422492  607.598268  386.050252   \n",
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       "\n",
       "            6041228287  5536661253  7357630367  8178147277  6026834850  \n",
       "3507831609  400.394433  401.312844  406.491225  355.605266  367.631472  \n",
       "3507831510  406.752930  407.671341  412.849721  361.963763  373.989968  \n",
       "6188134127  341.876433  342.794844  347.973225  297.087266  309.113472  \n",
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       "8598305977  369.684021  370.602432  375.780813  324.894854  336.921060  \n",
       "...                ...         ...         ...         ...         ...  \n",
       "3651042474  390.783692  390.255428  390.167888  360.157554  361.220134  \n",
       "3651042508  382.633437  382.105173  382.017634  352.007299  353.069879  \n",
       "3651042501  388.128553  387.600289  387.512749  357.502414  358.564995  \n",
       "3651042393  374.598250  374.069987  373.982447  343.972112  345.034692  \n",
       "6323434997  397.743964  397.215701  397.128161  367.117826  368.180406  \n",
       "\n",
       "[625851 rows x 58 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create origin-specific matrix and save to file.\n",
    "OD_ag = OD_df.loc[list_ag,:]\n",
    "OD_ag = OD_ag[OD_ag < fail_value] / 60 \n",
    "OD_ag.to_csv(os.path.join(out_pth, 'OD_ag.csv'))\n",
    "OD_ag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6058226279    10\n",
      "6029307183    10\n",
      "4998093094    10\n",
      "2201506815    10\n",
      "3474499811    10\n",
      "1697006012    10\n",
      "1901689169    10\n",
      "6032060028    10\n",
      "6040927878    10\n",
      "3449495495    10\n",
      "3990543961    10\n",
      "8972391475    10\n",
      "3418418812    10\n",
      "1983641803    10\n",
      "6014451367    10\n",
      "6027163276    10\n",
      "2833577858    10\n",
      "4656728818    10\n",
      "6045659373    10\n",
      "5528866190    10\n",
      "6027939517    10\n",
      "6031093257    10\n",
      "1883155712    10\n",
      "6026417971    10\n",
      "6031245697    10\n",
      "7493947593    10\n",
      "1859359090    10\n",
      "6053816462    10\n",
      "6027530676    10\n",
      "2988435647    10\n",
      "1332801944    10\n",
      "6053825179    10\n",
      "2988435792    10\n",
      "3036877534    10\n",
      "6056472223    10\n",
      "7460241128    10\n",
      "6028595154    10\n",
      "4053739078    10\n",
      "4071261250    10\n",
      "6014815762    10\n",
      "6024430122    10\n",
      "8229317581    10\n",
      "6027834438    10\n",
      "6024894515    10\n",
      "6024894530    10\n",
      "6024894513    10\n",
      "6031993937    10\n",
      "8200298999    10\n",
      "1968458114    10\n",
      "1936967272    10\n",
      "3496518021    10\n",
      "6027615161    10\n",
      "6027276892    10\n",
      "6041228287    10\n",
      "5536661253    10\n",
      "7357630367    10\n",
      "8178147277    10\n",
      "6026834850    10\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(OD_ag.isna().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter 1st nearest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check each file to make sure nearest neighbor column is named correctly. If not, rename."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reload from file even if already loaded. Quickest way to ensure NN is a column rather than only the index.\n",
    "OD_hamlet = os.path.join(out_pth, \"OD_hamlet.csv\")\n",
    "OD_hamlet = pd.read_csv(OD_hamlet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_ag = os.path.join(out_pth, \"OD_ag.csv\")\n",
    "OD_ag = pd.read_csv(OD_ag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_agham = os.path.join(out_pth, \"OD_ag-to-hamlet.csv\")\n",
    "OD_agham = pd.read_csv(OD_agham)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_ag.rename(columns={'Unnamed: 0': 'NN'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_hamlet.rename(columns={'Unnamed: 0': 'NN'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "OD_agham.rename(columns={'Unnamed: 0': 'NN'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>...</td>\n",
       "      <td>386.191171</td>\n",
       "      <td>438.906035</td>\n",
       "      <td>312.419798</td>\n",
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       "      <th>3</th>\n",
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       "      <td>360.157554</td>\n",
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       "      <th>625847</th>\n",
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       "      <td>382.633437</td>\n",
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       "      <th>625848</th>\n",
       "      <td>3651042501</td>\n",
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       "    <tr>\n",
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       "      <td>379.394945</td>\n",
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       "      <td>367.540974</td>\n",
       "      <td>...</td>\n",
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       "      <td>343.972112</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>625850</th>\n",
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       "      <td>390.686688</td>\n",
       "      <td>...</td>\n",
       "      <td>277.795774</td>\n",
       "      <td>217.121519</td>\n",
       "      <td>618.533020</td>\n",
       "      <td>622.708795</td>\n",
       "      <td>401.160779</td>\n",
       "      <td>397.743964</td>\n",
       "      <td>397.215701</td>\n",
       "      <td>397.128161</td>\n",
       "      <td>367.117826</td>\n",
       "      <td>368.180406</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>625851 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                NN  6058226279  6029307183  4998093094  2201506815  \\\n",
       "0       3507831609   83.755636  209.586049  357.743419  275.863666   \n",
       "1       3507831510   90.114132  215.944545  364.101916  282.222162   \n",
       "2       6188134127   25.237636  151.068049  299.225419  217.345665   \n",
       "3       8631201421   96.028962  153.778465  370.016745  288.136992   \n",
       "4       8598305977   53.045224  132.555506  327.033007  245.153254   \n",
       "...            ...         ...         ...         ...         ...   \n",
       "625846  3651042474  624.559798  606.560733  392.683769  431.982675   \n",
       "625847  3651042508  616.409543  598.410478  384.533514  423.832420   \n",
       "625848  3651042501  621.904659  603.905594  390.028629  429.327535   \n",
       "625849  3651042393  608.374356  590.375291  376.498327  415.797233   \n",
       "625850  6323434997  631.520070  613.521005  399.644041  438.942947   \n",
       "\n",
       "        3474499811  1697006012  1901689169  6032060028  6040927878  ...  \\\n",
       "0       278.349518  381.659274  403.553938  386.426740  324.115007  ...   \n",
       "1       284.708014  388.017771  409.912435  392.785237  330.473504  ...   \n",
       "2       219.831518  323.141274  345.035938  327.908740  265.597007  ...   \n",
       "3       290.622844  393.932600  415.827264  398.700066  336.388333  ...   \n",
       "4       247.639106  350.948862  372.843526  355.716328  293.404595  ...   \n",
       "...            ...         ...         ...         ...         ...  ...   \n",
       "625846  455.733437  357.256839  395.580387  340.325403  383.726416  ...   \n",
       "625847  447.583182  349.106585  387.430132  332.175148  375.576161  ...   \n",
       "625848  453.078298  354.601700  392.925247  337.670264  381.071277  ...   \n",
       "625849  439.547995  341.071398  379.394945  324.139961  367.540974  ...   \n",
       "625850  462.693709  364.217112  402.540659  347.285675  390.686688  ...   \n",
       "\n",
       "        1968458114  1936967272  3496518021  6027615161  6027276892  \\\n",
       "0       444.709171  497.424036  370.937799  371.295297  362.076637   \n",
       "1       451.067668  503.782532  377.296295  377.653793  368.435134   \n",
       "2       386.191171  438.906035  312.419798  312.777297  303.558637   \n",
       "3       456.982497  509.697362  315.130214  315.487712  374.349963   \n",
       "4       413.998759  466.713624  293.907256  294.264754  331.366225   \n",
       "...            ...         ...         ...         ...         ...   \n",
       "625846  270.835501  210.161246  611.572747  615.748523  394.200506   \n",
       "625847  262.685246  202.010991  603.422492  607.598268  386.050252   \n",
       "625848  268.180362  207.506107  608.917608  613.093383  391.545367   \n",
       "625849  254.650060  193.975805  595.387306  599.563081  378.015065   \n",
       "625850  277.795774  217.121519  618.533020  622.708795  401.160779   \n",
       "\n",
       "        6041228287  5536661253  7357630367  8178147277  6026834850  \n",
       "0       400.394433  401.312844  406.491225  355.605266  367.631472  \n",
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       "4       369.684021  370.602432  375.780813  324.894854  336.921060  \n",
       "...            ...         ...         ...         ...         ...  \n",
       "625846  390.783692  390.255428  390.167888  360.157554  361.220134  \n",
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       "625850  397.743964  397.215701  397.128161  367.117826  368.180406  \n",
       "\n",
       "[625851 rows x 59 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_ag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
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       "      <td>420.891204</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>61230 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               NN  6058226279  6029307183  4998093094  2201506815  3474499811  \\\n",
       "0      7761872870   62.539942  199.574127  334.953844  253.074090  255.559942   \n",
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       "2      6442044321   61.511550  198.545735  333.925452  252.045698  254.531551   \n",
       "3      2142496418   62.965072  199.999257  335.378974  253.499220  255.985073   \n",
       "4      2142496429   63.347446  200.381631  335.761348  253.881594  256.367447   \n",
       "...           ...         ...         ...         ...         ...         ...   \n",
       "61225  9207762346  533.503065  497.561040  378.761277  339.623942  355.382987   \n",
       "61226  8463584916  440.574927  422.575862  214.404399  246.695804  265.075194   \n",
       "61227  8463593882  444.334132  426.335068  218.372608  250.455009  268.834400   \n",
       "61228  9208004175  616.957292  598.958227  385.081263  424.380169  448.130931   \n",
       "61229  8592243457  529.245866  492.091827  364.875488  335.366743  351.125788   \n",
       "\n",
       "       1697006012  1901689169  6032060028  6040927878  ...  1968458114  \\\n",
       "0      358.869698  380.764362  363.637164  301.325431  ...  421.919595   \n",
       "1      358.851139  380.745803  363.618605  301.306872  ...  421.901036   \n",
       "2      357.841307  379.735971  362.608773  300.297040  ...  420.891204   \n",
       "3      359.294829  381.189493  364.062295  301.750562  ...  422.344726   \n",
       "4      359.677203  381.571867  364.444669  302.132936  ...  422.727100   \n",
       "...           ...         ...         ...         ...  ...         ...   \n",
       "61225  351.093292  390.436391  354.174342  292.615922  ...  280.170025   \n",
       "61226  178.977470  217.301017  162.046033  199.687784  ...   90.272091   \n",
       "61227  182.945679  221.269226  166.014242  203.446989  ...   94.031296   \n",
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       "61229  329.448559  367.772106  312.517122  288.358723  ...  240.497018   \n",
       "\n",
       "       1936967272  3496518021  6027615161  6027276892  6041228287  5536661253  \\\n",
       "0      474.634460  360.925876  361.283375  339.287062  377.604858  378.523268   \n",
       "1      474.615900  360.907317  361.264815  339.268502  377.586298  378.504709   \n",
       "2      473.606068  359.897485  360.254983  338.258670  376.576466  377.494877   \n",
       "3      475.059590  361.351007  361.708505  339.712192  378.029988  378.948399   \n",
       "4      475.441964  361.733381  362.090879  340.094566  378.412362  379.330773   \n",
       "...           ...         ...         ...         ...         ...         ...   \n",
       "61225  242.196268  343.082181  342.724169  383.094495  385.639697  385.111433   \n",
       "61226   64.552430  420.914505  425.090280  215.921137  212.504322  211.976058   \n",
       "61227   59.028425  424.673710  428.849485  219.889346  216.472532  215.944268   \n",
       "61228  202.558740  603.970241  608.146017  386.598001  383.181186  382.652922   \n",
       "61229  184.075151  337.612968  337.254956  366.392226  362.975412  362.447148   \n",
       "\n",
       "       7357630367  8178147277  6026834850  \n",
       "0      383.701649  332.815691  344.841896  \n",
       "1      383.683089  332.797131  344.823337  \n",
       "2      382.673257  331.787299  343.813505  \n",
       "3      384.126779  333.240821  345.267027  \n",
       "4      384.509153  333.623195  345.649401  \n",
       "...           ...         ...         ...  \n",
       "61225  385.023893  267.313841  260.404815  \n",
       "61226  211.888519  169.499311  170.561891  \n",
       "61227  215.856728  173.258516  174.321097  \n",
       "61228  382.565383  352.555048  353.617628  \n",
       "61229  362.359608  263.056642  256.147616  \n",
       "\n",
       "[61230 rows x 59 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_hamlet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'OD_agham' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_19484/4170529070.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mOD_agham\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'OD_agham' is not defined"
     ]
    }
   ],
   "source": [
    "OD_agham"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Find first, second, and third nearest destination for each origin node. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "fail_value = 999999999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NN</th>\n",
       "      <th>ag_HD1</th>\n",
       "      <th>ag_HD2</th>\n",
       "      <th>ag_HD3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3507831609</td>\n",
       "      <td>82.054823</td>\n",
       "      <td>83.755636</td>\n",
       "      <td>209.586049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3507831510</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6188134127</td>\n",
       "      <td>23.536822</td>\n",
       "      <td>25.237636</td>\n",
       "      <td>151.068049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8631201421</td>\n",
       "      <td>94.328148</td>\n",
       "      <td>96.028962</td>\n",
       "      <td>153.778465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8598305977</td>\n",
       "      <td>51.344411</td>\n",
       "      <td>53.045224</td>\n",
       "      <td>132.555506</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           NN     ag_HD1     ag_HD2      ag_HD3\n",
       "0  3507831609  82.054823  83.755636  209.586049\n",
       "1  3507831510  88.413319  90.114132  215.944545\n",
       "2  6188134127  23.536822  25.237636  151.068049\n",
       "3  8631201421  94.328148  96.028962  153.778465\n",
       "4  8598305977  51.344411  53.045224  132.555506"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Nearest\n",
    "OD_ag[\"ag_HD1\"] = 0\n",
    "sub = OD_ag.iloc[:,1:-1] # Filtering out the newly created field and the node ID column. (\"include everything between column 0 and the last column\")\n",
    "OD_ag[\"ag_HD1\"] = sub.min(axis=1) # Default is axis=0, meaning min value of each column selected. We want min of each row.\n",
    "ag1 = OD_ag[['NN', 'ag_HD1']] # Remove unnecessary OD values.\n",
    "\n",
    "\n",
    "# Second nearest\n",
    "dupes = OD_ag.apply(pd.Series.duplicated, axis = 1, keep=False) # If a number is repeated within a row, value is True. If not, False.\n",
    "# The first time this is done, there should be two True values per row, unless any POIs are equidistant.\n",
    "dupes = OD_ag.where(~dupes, fail_value) # For any value that appears more than once in its row, it is replaced with the fail_value.\n",
    "OD_ag[\"ag_HD2\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column. No need to filter 1st nearest as its new \"dupes\" value is too high to be caught.\n",
    "OD_ag[\"ag_HD2\"] = Dsub.min(axis=1) \n",
    "ag2 = OD_ag.loc[:,['NN', 'ag_HD2']] \n",
    "\n",
    "\n",
    "# Third nearest\n",
    "dupes = OD_ag.apply(pd.Series.duplicated, axis = 1, keep=False)\n",
    "# Since this includes both first and second nearest columns, there should be four True values per row, unless POIs are equidistant.\n",
    "dupes = OD_ag.where(~dupes, fail_value)\n",
    "\n",
    "OD_ag[\"ag_HD3\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column.\n",
    "OD_ag[\"ag_HD3\"] = Dsub.min(axis=1)\n",
    "ag3 = OD_ag.loc[:,['NN', 'ag_HD3']]\n",
    "\n",
    "# Combine and write to file\n",
    "ag_all = OD_ag.loc[:,['NN', 'ag_HD1', 'ag_HD2', 'ag_HD3']]\n",
    "ag_all.to_csv(os.path.join(out_pth, 'ag_to_HDurban.csv'))\n",
    "ag_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NN</th>\n",
       "      <th>ha_HD1</th>\n",
       "      <th>ha_HD2</th>\n",
       "      <th>ha_HD3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7761872870</td>\n",
       "      <td>62.539942</td>\n",
       "      <td>65.908250</td>\n",
       "      <td>199.574127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7761872869</td>\n",
       "      <td>62.521382</td>\n",
       "      <td>65.889691</td>\n",
       "      <td>199.555567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6442044321</td>\n",
       "      <td>61.511550</td>\n",
       "      <td>64.879859</td>\n",
       "      <td>198.545735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2142496418</td>\n",
       "      <td>62.965072</td>\n",
       "      <td>66.333381</td>\n",
       "      <td>199.999257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2142496429</td>\n",
       "      <td>63.347446</td>\n",
       "      <td>66.715755</td>\n",
       "      <td>200.381631</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           NN     ha_HD1     ha_HD2      ha_HD3\n",
       "0  7761872870  62.539942  65.908250  199.574127\n",
       "1  7761872869  62.521382  65.889691  199.555567\n",
       "2  6442044321  61.511550  64.879859  198.545735\n",
       "3  2142496418  62.965072  66.333381  199.999257\n",
       "4  2142496429  63.347446  66.715755  200.381631"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Nearest\n",
    "OD_hamlet[\"ha_HD1\"] = 0\n",
    "sub = OD_hamlet.iloc[:,1:-1] # Filtering out the newly created field and the node ID column. (\"include everything between column 0 and the last column\")\n",
    "OD_hamlet[\"ha_HD1\"] = sub.min(axis=1) # Default is axis=0, meaning min value of each column selected. We want min of each row.\n",
    "hamlet1 = OD_hamlet[['NN', 'ha_HD1']] # Remove unnecessary OD values.\n",
    "\n",
    "\n",
    "# Second nearest\n",
    "dupes = OD_hamlet.apply(pd.Series.duplicated, axis = 1, keep=False) # If a number is repeated within a row, value is True. If not, False.\n",
    "# The first time this is done, there should be two True values per row, unless any POIs are equidistant.\n",
    "dupes = OD_hamlet.where(~dupes, fail_value) # For any value that appears more than once in its row, it is replaced with the fail_value.\n",
    "OD_hamlet[\"ha_HD2\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column. No need to filter 1st nearest as its new \"dupes\" value is too high to be caught.\n",
    "OD_hamlet[\"ha_HD2\"] = Dsub.min(axis=1) \n",
    "hamlet2 = OD_hamlet.loc[:,['NN', 'ha_HD2']] \n",
    "\n",
    "\n",
    "# Third nearest\n",
    "dupes = OD_hamlet.apply(pd.Series.duplicated, axis = 1, keep=False)\n",
    "# Since this includes both first and second nearest columns, there should be four True values per row, unless POIs are equidistant.\n",
    "dupes = OD_hamlet.where(~dupes, fail_value)\n",
    "OD_hamlet[\"ha_HD3\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column.\n",
    "OD_hamlet[\"ha_HD3\"] = Dsub.min(axis=1)\n",
    "hamlet3 = OD_hamlet.loc[:,['NN', 'ha_HD3']]\n",
    "\n",
    "\n",
    "# Combine and write to file\n",
    "hamlet_all = OD_hamlet.loc[:,['NN', 'ha_HD1', 'ha_HD2', 'ha_HD3']]\n",
    "hamlet_all.to_csv(os.path.join(out_pth, 'hamlet_to_HDurban_drive.csv'))\n",
    "hamlet_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nearest\n",
    "OD_agham[\"agham1\"] = 0\n",
    "sub = OD_agham.iloc[:,1:-1] # Filtering out the newly created field and the node ID column. (\"include everything between column 0 and the last column\")\n",
    "OD_agham[\"agham1\"] = sub.min(axis=1) # Default is axis=0, meaning min value of each column selected. We want min of each row.\n",
    "agham1 = OD_agham[['NN', 'agham1']] # Remove unnecessary OD values.\n",
    "\n",
    "\n",
    "# Second nearest\n",
    "dupes = OD_agham.apply(pd.Series.duplicated, axis = 1, keep=False) # If a number is repeated within a row, value is True. If not, False.\n",
    "# The first time this is done, there should be two True values per row, unless any POIs are equidistant.\n",
    "dupes = OD_agham.where(~dupes, fail_value) # For any value that appears more than once in its row, it is replaced with the fail_value.\n",
    "OD_agham[\"agham2\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column. No need to filter 1st nearest as its new \"dupes\" value is too high to be caught.\n",
    "OD_agham[\"agham2\"] = Dsub.min(axis=1) \n",
    "agham2 = OD_agham.loc[:,['NN', 'agham2']] \n",
    "\n",
    "\n",
    "# Third nearest\n",
    "dupes = OD_agham.apply(pd.Series.duplicated, axis = 1, keep=False)\n",
    "# Since this includes both first and second nearest columns, there should be four True values per row, unless POIs are equidistant.\n",
    "dupes = OD_agham.where(~dupes, fail_value)\n",
    "\n",
    "OD_agham[\"agham3\"] = 0\n",
    "Dsub = dupes.iloc[:,1:] # Filtering out the node ID column.\n",
    "OD_agham[\"agham3\"] = Dsub.min(axis=1)\n",
    "agham3 = OD_agham.loc[:,['NN', 'agham3']]\n",
    "\n",
    "# Combine and write to file\n",
    "agham_all = OD_agham.loc[:,['NN', 'agham1', 'agham2', 'agham3']]\n",
    "agham_all.to_csv(os.path.join(out_pth, 'ag_to_hamlet.csv'))\n",
    "agham_all.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Join back to georeferenced _snap file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If starting new session, reload from file.\n",
    "ag_all = os.path.join(out_pth, \"ag_to_HDurban.csv\")\n",
    "ag_all = pd.read_csv(ag_all)\n",
    "ag_all.info() # Check to make sure NN data type matches its corresponding _snap file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hamlet_all = os.path.join(out_pth, \"hamlet_to_HDurban_drive.csv\")\n",
    "hamlet_all = pd.read_csv(hamlet_all)\n",
    "hamlet_all.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ag_snap = os.path.join(out_pth, \"ag_snap.csv\")\n",
    "ag_snap = pd.read_csv(ag_snap)\n",
    "ag_snap.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 125886 entries, 0 to 125885\n",
      "Data columns (total 10 columns):\n",
      " #   Column      Non-Null Count   Dtype  \n",
      "---  ------      --------------   -----  \n",
      " 0   Unnamed: 0  125886 non-null  int64  \n",
      " 1   Unnamed_ 0  125886 non-null  int64  \n",
      " 2   mgrs_code   125886 non-null  object \n",
      " 3   type        125886 non-null  object \n",
      " 4   GlobalID    125886 non-null  object \n",
      " 5   Shape_Leng  125886 non-null  float64\n",
      " 6   Shape_Area  125886 non-null  float64\n",
      " 7   geometry    125886 non-null  object \n",
      " 8   NN          125886 non-null  int64  \n",
      " 9   NN_dist     125886 non-null  float64\n",
      "dtypes: float64(3), int64(3), object(4)\n",
      "memory usage: 9.6+ MB\n"
     ]
    }
   ],
   "source": [
    "hamlet_snap = os.path.join(out_pth, \"hamlet_snap.csv\")\n",
    "hamlet_snap = pd.read_csv(hamlet_snap)\n",
    "hamlet_snap.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID_ag</th>\n",
       "      <th>ID_spam</th>\n",
       "      <th>grid_val</th>\n",
       "      <th>ID_LC</th>\n",
       "      <th>val</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>NSnomax</th>\n",
       "      <th>geometry</th>\n",
       "      <th>NN</th>\n",
       "      <th>NN_dist</th>\n",
       "      <th>ag_HD1</th>\n",
       "      <th>ag_HD2</th>\n",
       "      <th>ag_HD3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13941103</td>\n",
       "      <td>2344.0</td>\n",
       "      <td>2008851.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2008851.0</td>\n",
       "      <td>-16.458988</td>\n",
       "      <td>12.208646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.45899 12.20865)</td>\n",
       "      <td>3507831609</td>\n",
       "      <td>397.198533</td>\n",
       "      <td>82.054823</td>\n",
       "      <td>83.755636</td>\n",
       "      <td>209.586049</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13941122</td>\n",
       "      <td>2345.0</td>\n",
       "      <td>94605.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>94605.0</td>\n",
       "      <td>-16.375655</td>\n",
       "      <td>12.208646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.37565 12.20865)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>2881.578460</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13941017</td>\n",
       "      <td>2346.0</td>\n",
       "      <td>708413.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>708413.0</td>\n",
       "      <td>-16.208989</td>\n",
       "      <td>12.208646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20899 12.20865)</td>\n",
       "      <td>6188134127</td>\n",
       "      <td>17711.673781</td>\n",
       "      <td>23.536822</td>\n",
       "      <td>25.237636</td>\n",
       "      <td>151.068049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13941036</td>\n",
       "      <td>2402.0</td>\n",
       "      <td>315719.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>315719.0</td>\n",
       "      <td>-16.208492</td>\n",
       "      <td>12.152815</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20849 12.15282)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>21562.215777</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13941044</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>375288.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>375288.0</td>\n",
       "      <td>-16.294213</td>\n",
       "      <td>12.149487</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.29421 12.14949)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>12874.077085</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>13941119</th>\n",
       "      <td>13941081</td>\n",
       "      <td>3.0</td>\n",
       "      <td>87412.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>87412.0</td>\n",
       "      <td>-15.291536</td>\n",
       "      <td>16.874047</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29154 16.87405)</td>\n",
       "      <td>3651042474</td>\n",
       "      <td>2658.421843</td>\n",
       "      <td>210.161246</td>\n",
       "      <td>211.115529</td>\n",
       "      <td>216.799077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941120</th>\n",
       "      <td>13941093</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21660.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>21660.0</td>\n",
       "      <td>-15.292326</td>\n",
       "      <td>16.791961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29233 16.79196)</td>\n",
       "      <td>3651042508</td>\n",
       "      <td>1234.146014</td>\n",
       "      <td>202.010991</td>\n",
       "      <td>202.965275</td>\n",
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       "             ID_ag  ID_spam   grid_val  ID_LC        val          x  \\\n",
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       "...            ...      ...        ...    ...        ...        ...   \n",
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       "13941123  13941114      7.0      901.0    0.1      901.0 -14.875661   \n",
       "\n",
       "                  y  NSnomax                    geometry          NN  \\\n",
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       "3         12.152815      NaN  POINT (-16.20849 12.15282)  3507831510   \n",
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       "...             ...      ...                         ...         ...   \n",
       "13941119  16.874047      NaN  POINT (-15.29154 16.87405)  3651042474   \n",
       "13941120  16.791961      NaN  POINT (-15.29233 16.79196)  3651042508   \n",
       "13941121  16.867753      NaN  POINT (-15.37425 16.86775)  3651042501   \n",
       "13941122  16.791961      NaN  POINT (-15.37566 16.79196)  3651042393   \n",
       "13941123  16.785873      NaN  POINT (-14.87566 16.78587)  6323434997   \n",
       "\n",
       "               NN_dist      ag_HD1      ag_HD2      ag_HD3  \n",
       "0           397.198533   82.054823   83.755636  209.586049  \n",
       "1          2881.578460   88.413319   90.114132  215.944545  \n",
       "2         17711.673781   23.536822   25.237636  151.068049  \n",
       "3         21562.215777   88.413319   90.114132  215.944545  \n",
       "4         12874.077085   88.413319   90.114132  215.944545  \n",
       "...                ...         ...         ...         ...  \n",
       "13941119   2658.421843  210.161246  211.115529  216.799077  \n",
       "13941120   1234.146014  202.010991  202.965275  208.648822  \n",
       "13941121   9172.299324  207.506107  208.460390  214.143937  \n",
       "13941122   4280.425149  193.975805  194.930088  200.613635  \n",
       "13941123   2922.119100  217.121519  218.075802  223.759349  \n",
       "\n",
       "[13941124 rows x 14 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ag_to_HDurban = pd.merge(ag_snap, ag_all, on='NN',how='left')\n",
    "ag_to_HDurban"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
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       "        Unnamed: 0  Unnamed_ 0     mgrs_code    type  \\\n",
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       "125885      125885      125885  28QED6438_03  hamlet   \n",
       "\n",
       "                                      GlobalID  Shape_Leng  Shape_Area  \\\n",
       "0       {ED2CCDD5-C78F-40B6-A18A-3A01B61A4998}    0.004314    0.000001   \n",
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       "...                                        ...         ...         ...   \n",
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       "\n",
       "                                              geometry          NN  \\\n",
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       "...                                                ...         ...   \n",
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       "\n",
       "            NN_dist      ha_HD1      ha_HD2      ha_HD3  \n",
       "0        307.058089   62.539942   65.908250  199.574127  \n",
       "1        801.450257   62.521382   65.889691  199.555567  \n",
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       "3        689.246791   62.965072   66.333381  199.999257  \n",
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       "...             ...         ...         ...         ...  \n",
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       "\n",
       "[125886 rows x 13 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hamlet_to_HDurban = pd.merge(hamlet_snap, hamlet_all, on='NN',how='left')\n",
    "hamlet_to_HDurban"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "hamlet_to_HDurban.to_csv(os.path.join(out_pth, 'hamlet_to_HDurban_drive.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "ag_to_HDurban.to_csv(os.path.join(out_pth, 'ag_to_HDurban_drive.csv'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### End of script. Load into QGIS or Arc and visualize at 10 min intervals. \n",
    "QML file for symbology in QGIS:\n",
    "R:\\GEOGlobal\\Design\\symb_traveltimes_10min.qml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID_ag</th>\n",
       "      <th>ID_spam</th>\n",
       "      <th>grid_val</th>\n",
       "      <th>ID_LC</th>\n",
       "      <th>val</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>NSnomax</th>\n",
       "      <th>geometry</th>\n",
       "      <th>NN</th>\n",
       "      <th>NN_dist</th>\n",
       "      <th>ag_HD1</th>\n",
       "      <th>ag_HD2</th>\n",
       "      <th>ag_HD3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13941103</td>\n",
       "      <td>2344.0</td>\n",
       "      <td>2008851.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2008851.0</td>\n",
       "      <td>-16.458988</td>\n",
       "      <td>12.208646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.45899 12.20865)</td>\n",
       "      <td>3507831609</td>\n",
       "      <td>397.198533</td>\n",
       "      <td>82.054823</td>\n",
       "      <td>83.755636</td>\n",
       "      <td>209.586049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13941122</td>\n",
       "      <td>2345.0</td>\n",
       "      <td>94605.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>94605.0</td>\n",
       "      <td>-16.375655</td>\n",
       "      <td>12.208646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.37565 12.20865)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>2881.578460</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13941017</td>\n",
       "      <td>2346.0</td>\n",
       "      <td>708413.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>708413.0</td>\n",
       "      <td>-16.208989</td>\n",
       "      <td>12.208646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20899 12.20865)</td>\n",
       "      <td>6188134127</td>\n",
       "      <td>17711.673781</td>\n",
       "      <td>23.536822</td>\n",
       "      <td>25.237636</td>\n",
       "      <td>151.068049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13941036</td>\n",
       "      <td>2402.0</td>\n",
       "      <td>315719.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>315719.0</td>\n",
       "      <td>-16.208492</td>\n",
       "      <td>12.152815</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20849 12.15282)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>21562.215777</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13941044</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>375288.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>375288.0</td>\n",
       "      <td>-16.294213</td>\n",
       "      <td>12.149487</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.29421 12.14949)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>12874.077085</td>\n",
       "      <td>88.413319</td>\n",
       "      <td>90.114132</td>\n",
       "      <td>215.944545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941119</th>\n",
       "      <td>13941081</td>\n",
       "      <td>3.0</td>\n",
       "      <td>87412.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>87412.0</td>\n",
       "      <td>-15.291536</td>\n",
       "      <td>16.874047</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29154 16.87405)</td>\n",
       "      <td>3651042474</td>\n",
       "      <td>2658.421843</td>\n",
       "      <td>210.161246</td>\n",
       "      <td>211.115529</td>\n",
       "      <td>216.799077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941120</th>\n",
       "      <td>13941093</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21660.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>21660.0</td>\n",
       "      <td>-15.292326</td>\n",
       "      <td>16.791961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29233 16.79196)</td>\n",
       "      <td>3651042508</td>\n",
       "      <td>1234.146014</td>\n",
       "      <td>202.010991</td>\n",
       "      <td>202.965275</td>\n",
       "      <td>208.648822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941121</th>\n",
       "      <td>13941109</td>\n",
       "      <td>2.0</td>\n",
       "      <td>70993.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>70993.0</td>\n",
       "      <td>-15.374255</td>\n",
       "      <td>16.867753</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.37425 16.86775)</td>\n",
       "      <td>3651042501</td>\n",
       "      <td>9172.299324</td>\n",
       "      <td>207.506107</td>\n",
       "      <td>208.460390</td>\n",
       "      <td>214.143937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941122</th>\n",
       "      <td>13941119</td>\n",
       "      <td>5.0</td>\n",
       "      <td>54822.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>54822.0</td>\n",
       "      <td>-15.375659</td>\n",
       "      <td>16.791961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.37566 16.79196)</td>\n",
       "      <td>3651042393</td>\n",
       "      <td>4280.425149</td>\n",
       "      <td>193.975805</td>\n",
       "      <td>194.930088</td>\n",
       "      <td>200.613635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941123</th>\n",
       "      <td>13941114</td>\n",
       "      <td>7.0</td>\n",
       "      <td>901.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>901.0</td>\n",
       "      <td>-14.875661</td>\n",
       "      <td>16.785873</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-14.87566 16.78587)</td>\n",
       "      <td>6323434997</td>\n",
       "      <td>2922.119100</td>\n",
       "      <td>217.121519</td>\n",
       "      <td>218.075802</td>\n",
       "      <td>223.759349</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13941124 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID_ag  ID_spam   grid_val  ID_LC        val          x  \\\n",
       "0         13941103   2344.0  2008851.0    0.1  2008851.0 -16.458988   \n",
       "1         13941122   2345.0    94605.0    0.1    94605.0 -16.375655   \n",
       "2         13941017   2346.0   708413.0    0.1   708413.0 -16.208989   \n",
       "3         13941036   2402.0   315719.0    0.1   315719.0 -16.208492   \n",
       "4         13941044   2401.0   375288.0    0.1   375288.0 -16.294213   \n",
       "...            ...      ...        ...    ...        ...        ...   \n",
       "13941119  13941081      3.0    87412.0    0.1    87412.0 -15.291536   \n",
       "13941120  13941093      6.0    21660.0    0.1    21660.0 -15.292326   \n",
       "13941121  13941109      2.0    70993.0    0.1    70993.0 -15.374255   \n",
       "13941122  13941119      5.0    54822.0    0.1    54822.0 -15.375659   \n",
       "13941123  13941114      7.0      901.0    0.1      901.0 -14.875661   \n",
       "\n",
       "                  y  NSnomax                    geometry          NN  \\\n",
       "0         12.208646      NaN  POINT (-16.45899 12.20865)  3507831609   \n",
       "1         12.208646      NaN  POINT (-16.37565 12.20865)  3507831510   \n",
       "2         12.208646      NaN  POINT (-16.20899 12.20865)  6188134127   \n",
       "3         12.152815      NaN  POINT (-16.20849 12.15282)  3507831510   \n",
       "4         12.149487      NaN  POINT (-16.29421 12.14949)  3507831510   \n",
       "...             ...      ...                         ...         ...   \n",
       "13941119  16.874047      NaN  POINT (-15.29154 16.87405)  3651042474   \n",
       "13941120  16.791961      NaN  POINT (-15.29233 16.79196)  3651042508   \n",
       "13941121  16.867753      NaN  POINT (-15.37425 16.86775)  3651042501   \n",
       "13941122  16.791961      NaN  POINT (-15.37566 16.79196)  3651042393   \n",
       "13941123  16.785873      NaN  POINT (-14.87566 16.78587)  6323434997   \n",
       "\n",
       "               NN_dist      ag_HD1      ag_HD2      ag_HD3  \n",
       "0           397.198533   82.054823   83.755636  209.586049  \n",
       "1          2881.578460   88.413319   90.114132  215.944545  \n",
       "2         17711.673781   23.536822   25.237636  151.068049  \n",
       "3         21562.215777   88.413319   90.114132  215.944545  \n",
       "4         12874.077085   88.413319   90.114132  215.944545  \n",
       "...                ...         ...         ...         ...  \n",
       "13941119   2658.421843  210.161246  211.115529  216.799077  \n",
       "13941120   1234.146014  202.010991  202.965275  208.648822  \n",
       "13941121   9172.299324  207.506107  208.460390  214.143937  \n",
       "13941122   4280.425149  193.975805  194.930088  200.613635  \n",
       "13941123   2922.119100  217.121519  218.075802  223.759349  \n",
       "\n",
       "[13941124 rows x 14 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ag_to_HDurban['NSnomax'].replace({-9999: np.nan},inplace =True)\n",
    "ag_to_HDurban"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID_ag</th>\n",
       "      <th>val</th>\n",
       "      <th>NSnomax</th>\n",
       "      <th>geometry</th>\n",
       "      <th>NN</th>\n",
       "      <th>ag_HD1mm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13941103</td>\n",
       "      <td>2008851.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.45899 12.20865)</td>\n",
       "      <td>3507831609</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13941122</td>\n",
       "      <td>94605.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.37565 12.20865)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13941017</td>\n",
       "      <td>708413.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20899 12.20865)</td>\n",
       "      <td>6188134127</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13941036</td>\n",
       "      <td>315719.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.20849 12.15282)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13941044</td>\n",
       "      <td>375288.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-16.29421 12.14949)</td>\n",
       "      <td>3507831510</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941119</th>\n",
       "      <td>13941081</td>\n",
       "      <td>87412.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29154 16.87405)</td>\n",
       "      <td>3651042474</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941120</th>\n",
       "      <td>13941093</td>\n",
       "      <td>21660.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.29233 16.79196)</td>\n",
       "      <td>3651042508</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941121</th>\n",
       "      <td>13941109</td>\n",
       "      <td>70993.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.37425 16.86775)</td>\n",
       "      <td>3651042501</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941122</th>\n",
       "      <td>13941119</td>\n",
       "      <td>54822.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-15.37566 16.79196)</td>\n",
       "      <td>3651042393</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13941123</th>\n",
       "      <td>13941114</td>\n",
       "      <td>901.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-14.87566 16.78587)</td>\n",
       "      <td>6323434997</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13941124 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID_ag        val  NSnomax                    geometry  \\\n",
       "0         13941103  2008851.0      NaN  POINT (-16.45899 12.20865)   \n",
       "1         13941122    94605.0      NaN  POINT (-16.37565 12.20865)   \n",
       "2         13941017   708413.0      NaN  POINT (-16.20899 12.20865)   \n",
       "3         13941036   315719.0      NaN  POINT (-16.20849 12.15282)   \n",
       "4         13941044   375288.0      NaN  POINT (-16.29421 12.14949)   \n",
       "...            ...        ...      ...                         ...   \n",
       "13941119  13941081    87412.0      NaN  POINT (-15.29154 16.87405)   \n",
       "13941120  13941093    21660.0      NaN  POINT (-15.29233 16.79196)   \n",
       "13941121  13941109    70993.0      NaN  POINT (-15.37425 16.86775)   \n",
       "13941122  13941119    54822.0      NaN  POINT (-15.37566 16.79196)   \n",
       "13941123  13941114      901.0      NaN  POINT (-14.87566 16.78587)   \n",
       "\n",
       "                  NN  ag_HD1mm  \n",
       "0         3507831609       NaN  \n",
       "1         3507831510       NaN  \n",
       "2         6188134127       NaN  \n",
       "3         3507831510       NaN  \n",
       "4         3507831510       NaN  \n",
       "...              ...       ...  \n",
       "13941119  3651042474       NaN  \n",
       "13941120  3651042508       NaN  \n",
       "13941121  3651042501       NaN  \n",
       "13941122  3651042393       NaN  \n",
       "13941123  6323434997       NaN  \n",
       "\n",
       "[13941124 rows x 6 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ag_to_HDurban['ag_HD1mm'] = 0 # mm for multi-modal\n",
    "ag_to_HDurban['ag_HD1mm'] = ag_to_HDurban['ag_HD1'] + ag_to_HDurban['NSnomax']\n",
    "# Remove unnecessary data. These data are still saved in the _to_HDurban files.\n",
    "ag_to_HDurban = ag_to_HDurban.drop(columns=['ID_spam', 'grid_val', 'ID_LC', 'x', 'y', 'NN_dist', 'ag_HD1', 'ag_HD2', 'ag_HD3']) \n",
    "ag_to_HDurban"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50507\n",
      "755160\n"
     ]
    }
   ],
   "source": [
    "print(len(ag_to_HDurban.loc[ag_to_HDurban['ag_HD1mm']>240]), end=\"\\n\") # Number of origins isolated by excessive travel time\n",
    "print(len(ag_to_HDurban.loc[ag_to_HDurban['ag_HD1mm'].isnull()])) # Number of origins isolated by inability to access road"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "crs = \"EPSG:4326\"\n",
    "ag_to_HDurban = GeoDataFrame(ag_to_HDurban, crs=crs, geometry='geometry') \n",
    "ag_to_HDurban.to_file(driver='ESRI Shapefile', filename='C:/Users/wb527163/GEO-Cdrive-Grace/SEN-Cdrive/ag_to_HDurban_mm.shp') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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