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maptastik/Lenox_Parks_Network_Test.ipynb

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osmnx test on parks in Lenox, MA
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lenox_pap.geojson
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lenox_parks.geojson
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Lenox_Parks_Network_Test.ipynb
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Troubleshooting geopandas's intersection functions.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Troubleshooting some intersection issues in geopandas\n",
"\n",
"Part of the NCC analysis is to select only those park access points that fall within a certain distance of location and figure out the shortest route to them. As I was trying to port our analysis from arcpy to geopandas and osmnx, I was having trouble getting the intersection function to work. I would pass something like\n",
"\n",
"```python\n",
"points_gdf.within(poly_gdf)\n",
"```\n",
"\n",
"but would only get a correct evaluation for the first row of `points_gdf`. This notebook is an attempt to troubleshoot and come up with a solution to this problem.\n",
"\n",
"Some research suggested that because I only had one feature in `poly_gdf`, geopandas was doing some sort of index matching. I'm not sure why that's how it works but it would explain why only the first row was being evaluated. My solution was essentially to iterate through each row in `points_gdf` using a list comprehension and pandas's `df.iterrows()` function to find out if it was within the single polygon in `poly_gdf`. I then passed the resulting list as a filter to `points_gdf` which returned only those points that evaluated to `True` for being within `polygon_gdf`."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import json\n",
"import geopandas as gpd\n",
"from geopy import Nominatim\n",
"from shapely.geometry import Point, MultiPoint\n",
"import folium\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def gdf_to_geojson(gdf):\n",
" gdf_json = gdf.to_json()\n",
" gdf_json = json.loads(gdf_json)\n",
" return gdf_json"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get some points"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .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>parkid</th>\n",
" <th>ap_id</th>\n",
" <th>name</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>101001</td>\n",
" <td>Community Center</td>\n",
" <td>POINT (-73.28231960535049 42.35542615467306)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>102001</td>\n",
" <td>Basketball Court</td>\n",
" <td>POINT (-73.28166514635086 42.35606835114605)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>103001</td>\n",
" <td>Lenox Town Beach</td>\n",
" <td>POINT (-73.26271533966064 42.32728595838694)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>104001</td>\n",
" <td>Orebed Park</td>\n",
" <td>POINT (-73.28073978424072 42.35763219103418)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>104002</td>\n",
" <td>Orebed Park</td>\n",
" <td>POINT (-73.28090876340866 42.35855382749465)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" parkid ap_id name \\\n",
"0 1 101001 Community Center \n",
"1 2 102001 Basketball Court \n",
"2 3 103001 Lenox Town Beach \n",
"3 4 104001 Orebed Park \n",
"4 4 104002 Orebed Park \n",
"\n",
" geometry \n",
"0 POINT (-73.28231960535049 42.35542615467306) \n",
"1 POINT (-73.28166514635086 42.35606835114605) \n",
"2 POINT (-73.26271533966064 42.32728595838694) \n",
"3 POINT (-73.28073978424072 42.35763219103418) \n",
"4 POINT (-73.28090876340866 42.35855382749465) "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"points_gdf = gpd.read_file('lenox_pap.geojson')\n",
"points_json = gdf_to_geojson(points_gdf)\n",
"points_gdf.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get a starting point"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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],
"text/plain": [
"<folium.folium.Map at 0x1f34c0a6828>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"geolocator = Nominatim(user_agent = 'prcr-ncc')\n",
"center = geolocator.geocode('Lenox, MA, USA')\n",
"\n",
"center_gdf = gpd.GeoDataFrame({\n",
" 'address': [center.address],\n",
" 'geometry': [Point(center.longitude, center.latitude)]\n",
"})\n",
"center_gdf.crs = {'init': 'epsg:4326'}\n",
"center_json = gdf_to_geojson(center_gdf)\n",
"center_f = folium.features.GeoJson(center_json)\n",
"\n",
"m1 = folium.Map(\n",
" location = [center.latitude, center.longitude],\n",
" tiles = 'https://cartodb-basemaps-a.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png',\n",
" attr = '&copy; <a href=\"http://www.openstreetmap.org/copyright\">OpenStreetMap</a> &copy; <a href=\"http://cartodb.com/attributions\">CartoDB</a>',\n",
" zoom_start = 15\n",
")\n",
"m1.add_child(center_f)\n",
"m1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Buffer the starting point\n",
"\n",
"We only want to select points from `points_gdf` that are within 1/2 mile of `center_gdf`. We can accomplish this by creating 1/2 mile buffer around the single point in `center_gdf`. Later, we'll use this buffer to help handle our selection from `points_gdf`."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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        {
        "attribution": "&copy; <a href=\"http://www.openstreetmap.org/copyright\">OpenStreetMap</a> &copy; <a href=\"http://cartodb.com/attributions\">CartoDB</a>",
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        geo_json_d166bd8330fd4c8ea16498f38c3476c7.setStyle(function(feature) {return feature.properties.style;});
        
    
        
        var geo_json_c198c9fafbdb47a790ad68c349aa2593 = L.geoJson(
            {"bbox": [-73.29459407632157, 42.34923227274586, -73.27506367688392, 42.36371771522409], "features": [{"bbox": [-73.29459407632157, 42.34923227274586, -73.27506367688392, 42.36371771522409], "geometry": {"coordinates": [[[-73.27506367688392, 42.35662616229714], [-73.27509077690134, 42.35591552384805], [-73.27521165788603, 42.355210277253036], [-73.27542515263146, 42.354517214133615], [-73.27572920222289, 42.35384300856529], [-73.27612087597511, 42.35319415282182], [-73.27659639975346, 42.35257689487774], [-73.27715119240146, 42.351997178270096], [-73.27777990992148, 42.351460584897104], [-73.27847649698026, 42.35097228130334], [-73.27923424524198, 42.35053696896687], [-73.28004585796631, 42.350158839066005], [-73.28090352024967, 42.34984153215854], [-73.28179897423426, 42.349588103161466], [-73.28272359856288, 42.349400991965695], [-73.28366849131685, 42.34928199996813], [-73.2846245556418, 42.34923227274586], [-73.28558258724101, 42.34925228903809], [-73.28653336289771, 42.349341856142], [-73.28746772917864, 42.34950011176592], [-73.28837669046919, 42.349725532322694], [-73.28925149549694, 42.350015947583294], [-73.29008372151421, 42.35036856155082], [-73.29086535533297, 42.350779979354215], [-73.29158887043461, 42.35124623990464], [-73.29224729941438, 42.35176285400103], [-73.29283430106425, 42.35232484751966], [-73.29334422144905, 42.35292680927335], [-73.29377214838716, 42.35356294308129], [-73.29411395881017, 42.35422712354934], [-73.29436635854307, 42.3549129550256], [-73.29452691411946, 42.355613833164405], [-73.29459407632157, 42.35632300850732], [-73.2945671952146, 42.35703365146935], [-73.29444652652602, 42.35773891810548], [-73.29423322930397, 42.358432016024025], [-73.29392935487246, 42.35910626981218], [-73.2935378271854, 42.35975518534313], [-73.29306241476426, 42.36037251234468], [-73.29250769448615, 42.36095230462603], [-73.29187900756753, 42.36148897738081], [-73.29118240816567, 42.361977361013864], [-73.29042460509072, 42.36241275097122], [-73.28961289718947, 42.362790953091746], [-73.28875510302309, 42.36310832404218], [-73.28785948551757, 42.363361806444445], [-73.28693467231412, 42.36354895835529], [-73.2859895725898, 42.363667976813126], [-73.2850332911527, 42.36371771522409], [-73.28407504064303, 42.363697694418896], [-73.28312405269023, 42.36360810727385], [-73.28218948888592, 42.36344981685079], [-73.28128035243545, 42.363224348074205], [-73.2804054013425, 42.36293387302611], [-73.27957306396803, 42.362581190001116], [-73.2787913577794, 42.36216969652401], [-73.27806781207636, 42.36170335659182], [-73.27740939543968, 42.36118666245613], [-73.27682244860304, 42.36062459131657], [-73.27631262339517, 42.36002255734324], [-73.27588482834008, 42.35938635949235], [-73.27554318143801, 42.358722125619096], [-73.27529097057992, 42.358036253427784], [-73.2751306219739, 42.3573353488287], [-73.27506367688392, 42.35662616229714]]], "type": "Polygon"}, "id": "0", "properties": {"highlight": {}, "style": {"color": "black", "dashArray": [5, 10], "fillOpacity": 0, "weight": 5}}, "type": "Feature"}], "type": "FeatureCollection"}
            
            ).addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
        geo_json_c198c9fafbdb47a790ad68c349aa2593.setStyle(function(feature) {return feature.properties.style;});
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x1f34c0a6828>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"center_buff_gdf = center_gdf.to_crs({'init':'epsg:2249'}).buffer(2640).to_crs({'init':'epsg:4326'})\n",
"center_buff_json = gdf_to_geojson(center_buff_gdf)\n",
"\n",
"m1.add_child(folium.features.GeoJson(center_buff_json, style_function = lambda x: {\n",
" 'color': 'black',\n",
" 'fillOpacity': 0,\n",
" 'weight': 5,\n",
" 'dashArray': [5, 10]\n",
"}))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Look at points\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS=false; L_NO_TOUCH=false; L_DISABLE_3D=false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
    <style>#map_9db1f0c3c2394431bcf6b3c1b8562e76 {
        position: relative;
        width: 100.0%;
        height: 100.0%;
        left: 0.0%;
        top: 0.0%;
        }
    </style>
</head>
<body>    
    
    <div class="folium-map" id="map_9db1f0c3c2394431bcf6b3c1b8562e76" ></div>
</body>
<script>    
    
    
        var bounds = null;
    

    var map_9db1f0c3c2394431bcf6b3c1b8562e76 = L.map(
        'map_9db1f0c3c2394431bcf6b3c1b8562e76', {
        center: [42.356475, -73.2848289],
        zoom: 15,
        maxBounds: bounds,
        layers: [],
        worldCopyJump: false,
        crs: L.CRS.EPSG3857,
        zoomControl: true,
        });

    
    
    var tile_layer_c583cf6f4ad54da2a96fdac53667efc1 = L.tileLayer(
        'https://cartodb-basemaps-a.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png',
        {
        "attribution": "&copy; <a href=\"http://www.openstreetmap.org/copyright\">OpenStreetMap</a> &copy; <a href=\"http://cartodb.com/attributions\">CartoDB</a>",
        "detectRetina": false,
        "maxNativeZoom": 18,
        "maxZoom": 18,
        "minZoom": 0,
        "noWrap": false,
        "subdomains": "abc"
}).addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
    
        
        var geo_json_d166bd8330fd4c8ea16498f38c3476c7 = L.geoJson(
            {"features": [{"geometry": {"coordinates": [-73.2848289, 42.356475], "type": "Point"}, "id": "0", "properties": {"address": "Lenox, Berkshire, Massachusetts, 01242, USA", "highlight": {}, "style": {}}, "type": "Feature"}], "type": "FeatureCollection"}
            
            ).addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
        geo_json_d166bd8330fd4c8ea16498f38c3476c7.setStyle(function(feature) {return feature.properties.style;});
        
    
        
        var geo_json_c198c9fafbdb47a790ad68c349aa2593 = L.geoJson(
            {"bbox": [-73.29459407632157, 42.34923227274586, -73.27506367688392, 42.36371771522409], "features": [{"bbox": [-73.29459407632157, 42.34923227274586, -73.27506367688392, 42.36371771522409], "geometry": {"coordinates": [[[-73.27506367688392, 42.35662616229714], [-73.27509077690134, 42.35591552384805], [-73.27521165788603, 42.355210277253036], [-73.27542515263146, 42.354517214133615], [-73.27572920222289, 42.35384300856529], [-73.27612087597511, 42.35319415282182], [-73.27659639975346, 42.35257689487774], [-73.27715119240146, 42.351997178270096], [-73.27777990992148, 42.351460584897104], [-73.27847649698026, 42.35097228130334], [-73.27923424524198, 42.35053696896687], [-73.28004585796631, 42.350158839066005], [-73.28090352024967, 42.34984153215854], [-73.28179897423426, 42.349588103161466], [-73.28272359856288, 42.349400991965695], [-73.28366849131685, 42.34928199996813], [-73.2846245556418, 42.34923227274586], [-73.28558258724101, 42.34925228903809], [-73.28653336289771, 42.349341856142], [-73.28746772917864, 42.34950011176592], [-73.28837669046919, 42.349725532322694], [-73.28925149549694, 42.350015947583294], [-73.29008372151421, 42.35036856155082], [-73.29086535533297, 42.350779979354215], [-73.29158887043461, 42.35124623990464], [-73.29224729941438, 42.35176285400103], [-73.29283430106425, 42.35232484751966], [-73.29334422144905, 42.35292680927335], [-73.29377214838716, 42.35356294308129], [-73.29411395881017, 42.35422712354934], [-73.29436635854307, 42.3549129550256], [-73.29452691411946, 42.355613833164405], [-73.29459407632157, 42.35632300850732], [-73.2945671952146, 42.35703365146935], [-73.29444652652602, 42.35773891810548], [-73.29423322930397, 42.358432016024025], [-73.29392935487246, 42.35910626981218], [-73.2935378271854, 42.35975518534313], [-73.29306241476426, 42.36037251234468], [-73.29250769448615, 42.36095230462603], [-73.29187900756753, 42.36148897738081], [-73.29118240816567, 42.361977361013864], [-73.29042460509072, 42.36241275097122], [-73.28961289718947, 42.362790953091746], [-73.28875510302309, 42.36310832404218], [-73.28785948551757, 42.363361806444445], [-73.28693467231412, 42.36354895835529], [-73.2859895725898, 42.363667976813126], [-73.2850332911527, 42.36371771522409], [-73.28407504064303, 42.363697694418896], [-73.28312405269023, 42.36360810727385], [-73.28218948888592, 42.36344981685079], [-73.28128035243545, 42.363224348074205], [-73.2804054013425, 42.36293387302611], [-73.27957306396803, 42.362581190001116], [-73.2787913577794, 42.36216969652401], [-73.27806781207636, 42.36170335659182], [-73.27740939543968, 42.36118666245613], [-73.27682244860304, 42.36062459131657], [-73.27631262339517, 42.36002255734324], [-73.27588482834008, 42.35938635949235], [-73.27554318143801, 42.358722125619096], [-73.27529097057992, 42.358036253427784], [-73.2751306219739, 42.3573353488287], [-73.27506367688392, 42.35662616229714]]], "type": "Polygon"}, "id": "0", "properties": {"highlight": {}, "style": {"color": "black", "dashArray": [5, 10], "fillOpacity": 0, "weight": 5}}, "type": "Feature"}], "type": "FeatureCollection"}
            
            ).addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
        geo_json_c198c9fafbdb47a790ad68c349aa2593.setStyle(function(feature) {return feature.properties.style;});
        
    
            var circle_marker_1acbaf470d504607a804668d2d9cbc80 = L.circleMarker(
                [42.35542615467306, -73.2823196053505],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_8aab6f638e8a4f28951cc710e656440c = L.circleMarker(
                [42.35606835114605, -73.28166514635086],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_d0e5ccdf50714ddba3de8f42c9565f3b = L.circleMarker(
                [42.32728595838694, -73.26271533966064],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_18b26025a4a24e999285628ae2af6873 = L.circleMarker(
                [42.35763219103418, -73.28073978424072],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_e7186a16bf00404e8f873fa8daf2447d = L.circleMarker(
                [42.358553827494646, -73.28090876340866],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_e85dd1dc05e846da84d0c676b408b6e8 = L.circleMarker(
                [42.356538101817605, -73.28138887882233],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_70cb001333ea4c6db88e8a0c57c7899e = L.circleMarker(
                [42.3561367327913, -73.2814948260784],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_f7c69d21c5fe4a9eae1cf71d04a136ad = L.circleMarker(
                [42.33351420684395, -73.2478156685829],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_2bef0f9ec58c4e09ae2a338be23af0fc = L.circleMarker(
                [42.35831202310762, -73.28508496284485],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_62d67898b9cd407db2f7d6d5308330eb = L.circleMarker(
                [42.35853797149778, -73.28457802534103],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_14fcbf364bdb47df8df7af5279f9a379 = L.circleMarker(
                [42.327974050520865, -73.2631927728653],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
            var circle_marker_d8c3d15927c74fd8937c8b90450a1f77 = L.circleMarker(
                [42.35677793097526, -73.27572137117386],
                {
  "bubblingMouseEvents": true,
  "color": "black",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "black",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 1
}
                )
                .addTo(map_9db1f0c3c2394431bcf6b3c1b8562e76);
            
    
                

                map_9db1f0c3c2394431bcf6b3c1b8562e76.fitBounds(
                    [[42.32728595838694, -73.28508496284485], [42.358553827494646, -73.2478156685829]],
                    {}
                    );
            
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x1f34c0a6828>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[m1.add_child(folium.CircleMarker(location = [coord for coord in reversed(point['geometry']['coordinates'])],\n",
" radius = 5,\n",
" color = 'black',\n",
" weight = 1)\n",
" )\n",
" for point in points_json['features']]\n",
"\n",
"points_mp_list = [(row['geometry'].x, row['geometry'].y) for index, row in points_gdf.iterrows()]\n",
"points_mp = MultiPoint(points_mp_list)\n",
"points_mp_bounds = points_mp.bounds\n",
"m1.fit_bounds(bounds = [[points_mp_bounds[1], points_mp_bounds[0]], [points_mp_bounds[3], points_mp_bounds[2]]])\n",
"m1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Find points within buffer area"
]
},
{
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"source": [
"# Iterate through each row in points_gdf to test if it is within center_buff_gdf\n",
"# If the point is in center_buff_gdf, return True, otherwise return False\n",
"# These will be collected into the list, points_in_buffer_results\n",
"points_in_buffer_results = [gpd.GeoSeries(row['geometry']).within(center_buff_gdf) for index, row in points_gdf.iterrows()]\n",
"\n",
"# Filter points_gdf based on True values in points_in_buffer_results\n",
"search_points_gdf = points_gdf[points_in_buffer_results]\n",
"# Convert search_points_gdf to GeoJSON\n",
"search_points_json = gdf_to_geojson(search_points_gdf)\n",
"\n",
"# Add each point from search_points_json to the map\n",
"[m1.add_child(folium.CircleMarker(location = [coord for coord in reversed(point['geometry']['coordinates'])],\n",
" radius = 2,\n",
" weight = 0,\n",
" fill_color = 'black',\n",
" fill_opacity = 1)\n",
" )\n",
" for point in search_points_json['features']]\n",
"\n",
"m1"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .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>parkid</th>\n",
" <th>ap_id</th>\n",
" <th>name</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>101001</td>\n",
" <td>Community Center</td>\n",
" <td>POINT (-73.28231960535049 42.35542615467306)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>102001</td>\n",
" <td>Basketball Court</td>\n",
" <td>POINT (-73.28166514635086 42.35606835114605)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>104001</td>\n",
" <td>Orebed Park</td>\n",
" <td>POINT (-73.28073978424072 42.35763219103418)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>104002</td>\n",
" <td>Orebed Park</td>\n",
" <td>POINT (-73.28090876340866 42.35855382749465)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>5</td>\n",
" <td>105001</td>\n",
" <td>Tennis Courts</td>\n",
" <td>POINT (-73.28138887882233 42.35653810181761)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>5</td>\n",
" <td>105002</td>\n",
" <td>Tennis Courts</td>\n",
" <td>POINT (-73.2814948260784 42.3561367327913)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>7</td>\n",
" <td>107001</td>\n",
" <td>Lilac Park</td>\n",
" <td>POINT (-73.28508496284485 42.35831202310762)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>7</td>\n",
" <td>107002</td>\n",
" <td>Lilac Park</td>\n",
" <td>POINT (-73.28457802534103 42.35853797149778)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>8</td>\n",
" <td>108001</td>\n",
" <td>Veterans Memorial Park</td>\n",
" <td>POINT (-73.27572137117386 42.35677793097526)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" parkid ap_id name \\\n",
"0 1 101001 Community Center \n",
"1 2 102001 Basketball Court \n",
"3 4 104001 Orebed Park \n",
"4 4 104002 Orebed Park \n",
"5 5 105001 Tennis Courts \n",
"6 5 105002 Tennis Courts \n",
"8 7 107001 Lilac Park \n",
"9 7 107002 Lilac Park \n",
"11 8 108001 Veterans Memorial Park \n",
"\n",
" geometry \n",
"0 POINT (-73.28231960535049 42.35542615467306) \n",
"1 POINT (-73.28166514635086 42.35606835114605) \n",
"3 POINT (-73.28073978424072 42.35763219103418) \n",
"4 POINT (-73.28090876340866 42.35855382749465) \n",
"5 POINT (-73.28138887882233 42.35653810181761) \n",
"6 POINT (-73.2814948260784 42.3561367327913) \n",
"8 POINT (-73.28508496284485 42.35831202310762) \n",
"9 POINT (-73.28457802534103 42.35853797149778) \n",
"11 POINT (-73.27572137117386 42.35677793097526) "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"search_points_gdf"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
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"file_extension": ".py",
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"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.6"
}
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"nbformat": 4,
"nbformat_minor": 2
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