I'm trying to test if a point is inside a polygon using this example:
http://stackoverflow.com/questions/20776205/point-in-polygon-with-geojson-in-python
However, my output says that none of the points is inside any of the polygons.Since the points are defined on the map of NYC, and my polygons define community districts of NYC, this doesn't make sense.
This is my full code:
import urllib2, json, csvimport numpyfrom shapely.geometry import shape, Pointdef readJson(url): """ Returns a json file specified in @url. """ response = urllib2.urlopen(url) return json.loads(response.read())def readCSV(url): """ Returns a csv file specified in @url. """ response = urllib2.urlopen(url) return csv.DictReader(response, delimiter=',') def getRegions(): """ Returns a dictionary formed by the id of a region and its coordinates. """ dict = {} url = "https://nycdatastables.s3.amazonaws.com/2013-08-19T18:22:23.125Z/community-districts-polygon.geojson" data = readJson(url) for district in data['features']: dict[district['id']] = district['geometry'] return dictdef getPOIs(): """ Returns a list of tuples of POIs lat/long coordinates. """ urls = ["https://nycdatastables.s3.amazonaws.com/2013-06-04T18:02:56.019Z/museums-and-galleries-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-12-16T21:49:55.716Z/nyc-parking-facilities-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-20T16:06:05.136Z/mapped-in-ny-companies-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-11T18:59:27.269Z/nyc-public-school-locations-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-07-29T15:49:03.498Z/nyc-private-school-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-07-01T16:25:00.297Z/nyc-special-education-school-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-05T14:35:56.387Z/basic-description-of-colleges-and-universities-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-05T20:25:17.301Z/operating-sidewalk-cafes-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-04T14:40:48.764Z/community-health-centers-results.csv", "http://data.nycprepared.org/ar/dataset/dycd-after-school-programs-housing/resource/d2306a8f-59d1-4cb0-b527-ba44ca8eec3a", "http://data.nycprepared.org/ar/dataset/dycd-after-school-programs-family-support-programs-for-seniors/resource/493f52a4-0a49-4f5f-8937-78e69fb77852", "https://nycdatastables.s3.amazonaws.com/2013-07-02T15:29:20.692Z/agency-service-center-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-13T18:39:44.536Z/nyc-2012-farmers-market-list-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-10-18T21:14:52.348Z/nyc-grocery-stores-final.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-18T14:29:37.626Z/subway-entrances-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-04T17:58:59.335Z/map-of-monuments-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-18T20:17:34.010Z/nyc-landmarks-results.csv"] POIs = [] for url in urls: csv = readCSV(url) print url for line in csv: latitude = line.get('latitude', None) longitude = line.get('longitude', None) if latitude is not None and longitude is not None: POIs.append((float(latitude), float(longitude))) return POIsdef POIsInRegion(regions, POIs): """ Returns a dictionary formed by the id of a region and the number of POIs that falls in this region. """ dict = {} for key, value in regions.iteritems(): dict[key] = 0 polygon = shape(value) print value# print polygon for p in POIs: point = Point(p[0], p[1]) print point if polygon.contains(point): dict[key] += 1 return dictif __name__ == '__main__': # Geographical Features regions_bbox = getRegions() regions_number = len(regions_bbox) print "Regions: ", regions_number print "Reading POIs..." POIs = getPOIs() print len(POIs) print "Done Reading POIs" print "Calculating POIs per Region" POIsPerRegion = POIsInRegion(regions_bbox, POIs) print POIsPerRegionI'm wondering what I'm missing.
All data are valid and obtained at http://nycprepared.org.
Example:
First polygon (related to this data -- map can be view):
{u'type': u'Polygon', u'coordinates': [[[-74.01115034338935, 40.725777216880076], [-74.01081238260726, 40.72578980255575], [-73.99931241700145, 40.71755024177738], [-74.0005783921612, 40.71557090292421], [-74.0004546306596, 40.71436504759887], [-74.0009317433238, 40.71326325304528], [-74.00086781464309, 40.71156815886214], [-74.00050986097233, 40.710984270453366], [-74.0014714023208, 40.70974655432324], [-73.99919451174895, 40.70794737635146], [-74.00118685262828, 40.70685982577175], [-74.00098276757775, 40.706416712992926], [-74.00140666691954, 40.70617938802063], [-74.0005829704798, 40.70543393364888], [-74.00143661245443, 40.70487217770522], [-74.00206142563805, 40.70541700463557], [-74.00256965059467, 40.70552357952349], [-74.00268512768794, 40.70544924811865], [-74.00197070463986, 40.704737867482024], [-74.00217184875859, 40.70460659646367], [-74.00243071075865, 40.70467785800434], [-74.00238670806719, 40.70479566367446], [-74.00332307270787, 40.70562859522005], [-74.00363187169326, 40.70542980675174], [-74.00287843069457, 40.70483135798975], [-74.00297246475286, 40.70476649143739], [-74.00364446183866, 40.7054216846388], [-74.00438344417225, 40.70511325985482], [-74.00426687037428, 40.70501166020203], [-74.00459003883672, 40.70478775294501], [-74.00349632042324, 40.7037967692677], [-74.0037198704304, 40.703654481944646], [-74.00480628900745, 40.70464206905116], [-74.00518805133365, 40.70442053569055], [-74.00492580564406, 40.70421180838463], [-74.00521160900402, 40.704405532235306], [-74.00535027224755, 40.70431007996152], [-74.00415742154165, 40.70323163208721], [-74.004272587521, 40.703015666411474], [-74.00559242609006, 40.70408256373161], [-74.00601862790923, 40.703873152890765], [-74.00614010577931, 40.70397866027174], [-74.00659591913875, 40.70368590245182], [-74.00530412596078, 40.70255986563303], [-74.00549427805095, 40.70243138095038], [-74.00553546138175, 40.70264552110683], [-74.00567522315887, 40.702584071694936], [-74.00678502257081, 40.70356812690006], [-74.00930907655481, 40.70195460302253], [-74.00869964313567, 40.70113986754221], [-74.00775549150639, 40.70154800167179], [-74.00759136204219, 40.70132808104811], [-74.00853611510774, 40.70091969574503], [-74.008349275591, 40.70066934838819], [-74.00862036163862, 40.700552163210666], [-74.00960052263287, 40.701865481917835], [-74.01116664217923, 40.70147720220825], [-74.01109588602678, 40.70127499934884], [-74.01128983905524, 40.701249982244235], [-74.01079959311005, 40.70020721300695], [-74.01115033556837, 40.70089840010092], [-74.01135836291354, 40.70085195863632], [-74.01133409344382, 40.70056835368232], [-74.0115029114371, 40.70081505897418], [-74.01172926817475, 40.70077011805966], [-74.01163147918649, 40.7004582182481], [-74.01185378549589, 40.700738921450146], [-74.01208668214691, 40.700681308739156], [-74.01185672623029, 40.70010710340832], [-74.01196196116918, 40.70003754559543], [-74.01239160032284, 40.700620528094], [-74.01259392327509, 40.70057083347241], [-74.01261382087364, 40.70010826581106], [-74.01290881859993, 40.7005236116934], [-74.01310747847371, 40.700507452180624], [-74.01301189331895, 40.69981825663114], [-74.01311303826294, 40.69977416488007], [-74.01327349549122, 40.70049687022768], [-74.01348560832739, 40.700478222908394], [-74.01353285084137, 40.70010816142314], [-74.01367479248758, 40.70012582145088], [-74.01353047796475, 40.70031110034644], [-74.01355826959487, 40.70093987083052], [-74.01395152690475, 40.70099098246003], [-74.01422063261519, 40.700111490863044], [-74.01415238853336, 40.70057786578343], [-74.01428920741134, 40.70064414476502], [-74.01467120058032, 40.700210400694424], [-74.01432384363017, 40.700661304127095], [-74.01464323168875, 40.70081730432518], [-74.01509832270125, 40.700334265523416], [-74.01467365628476, 40.70083460852581], [-74.01502113661678, 40.70099250401337], [-74.015142318121, 40.70084289235424], [-74.01714508062658, 40.70270534997615], [-74.01764797572895, 40.70349459987939], [-74.01757035706059, 40.70418388098645], [-74.01779454520279, 40.704234897096185], [-74.01781758697946, 40.703937922496536], [-74.01795474048662, 40.70397578560846], [-74.01784441106724, 40.704242039937895], [-74.01844770243773, 40.704162168231505], [-74.01866830771891, 40.704435239616195], [-74.01748086152573, 40.70466748769614], [-74.01811296129115, 40.70455372748716], [-74.01888746649365, 40.70472914883734], [-74.0193425462446, 40.706093672024494], [-74.01912275963412, 40.706975814337405], [-74.01863058372699, 40.707139715269264], [-74.01884889814508, 40.706970312350194], [-74.01853513269668, 40.706918322014054], [-74.01819029325691, 40.7078216261098], [-74.01885500911966, 40.708047534447395], [-74.01777014254503, 40.712834574789106], [-74.01780037822344, 40.71234512415862], [-74.01662424491339, 40.71215731899518], [-74.01661840078305, 40.71275615002965], [-74.0163200662758, 40.713407982478245], [-74.01754443334657, 40.71361122266423], [-74.01772496219294, 40.7130701816227], [-74.01671018605823, 40.71862417605797], [-74.01321322719193, 40.71831571989575], [-74.0129144874633, 40.7197082932253], [-74.01344694049585, 40.71978201978623], [-74.01338906903445, 40.72004260727319], [-74.01452415856502, 40.720187397445684], [-74.01452279056075, 40.72053205032773], [-74.01296558526825, 40.720328675587126], [-74.01286909138038, 40.720833752211675], [-74.0132393733702, 40.720887986728066], [-74.01308010145637, 40.72154580719522], [-74.01253875807262, 40.72150317657635], [-74.01165326569942, 40.725871761851344], [-74.01516324118423, 40.72631971193678], [-74.01517084085862, 40.726579390657555], [-74.01145763103551, 40.72615568926202], [-74.01115034338935, 40.725777216880076]]]}First points (related to this data -- map can be view):
POINT (-74.01375579499995 40.70381655000006)POINT (-74.06303178799993 40.61512117100006)POINT (-73.94729768499991 40.83385383400008)POINT (-73.97810302099992 40.76162530600004)POINT (-74.03968483799991 40.69905659600005)POINT (-73.97364816499993 40.78082656700008)POINT (-74.00701187899995 40.72352692500004)POINT (-73.96597045099992 40.76882456300007)POINT (-73.99963036799994 40.72112778300004)POINT (-73.96428395699991 40.76983411600008)POINT (-73.94654590499994 40.83358261600006)POINT (-73.80557949899992 40.87177865100006)POINT (-73.82489046299992 40.76288666600004)POINT (-73.8797487409999 40.87823677400007)POINT (-73.91975017699991 40.83103011300005)POINT (-73.94401601399994 40.67450733000004)POINT (-73.99240540399995 40.69480330800008)POINT (-73.96358506799993 40.67108354500004)POINT (-74.00731553399993 40.74789793400004)POINT (-73.97727392099995 40.78587125400009)POINT (-73.99883836099991 40.72074980300005)POINT (-73.93173408699994 40.86492396800008)POINT (-73.97985598399993 40.57526357600005)POINT (-73.95778161999993 40.78432607400003)POINT (-73.97304190099993 40.76210730600008)POINT (-73.94649318099994 40.83330244300004)POINT (-74.00613537699991 40.74789526000006)POINT (-73.9873186399999 40.75750141900005)POINT (-74.00290417199994 40.72245152200009)POINT (-73.92383914699991 40.86713125400007)POINT (-73.99272306099994 40.72496003700007)POINT (-73.9513676009999 40.79309925400008)POINT (-74.04132161699994 40.69820788700008)POINT (-74.01133926299991 40.70339960900009)POINT (-73.96708040599992 40.77105498700007)POINT (-74.07387774199992 40.61516555800006)POINT (-73.96174203899994 40.77916597400008)POINT (-73.94306846199993 40.77611378300008)POINT (-73.91397962899993 40.85874750300007)POINT (-74.03231077699991 40.60900900100006)POINT (-73.94682282199994 40.83345248000006)POINT (-73.89098784299995 40.87835819800006)POINT (-74.01808694199991 40.67557226800005)POINT (-73.98383672499995 40.75602148500008)POINT (-74.00089180499992 40.76478360700008)POINT (-73.93765514499995 40.76695694500006)POINT (-73.99749410699991 40.71919496200007)POINT (-74.00664185499994 40.72335099600008)POINT (-74.1381233649999 40.57631316900006)POINT (-73.94694494599992 40.85022036900006)POINT (-73.95718705799993 40.78540259000005)POINT (-74.00965483699991 40.75233053000005)POINT (-73.80376061999993 40.70304235200007)POINT (-73.82415641899991 40.76359603800006)POINT (-73.93514567999995 40.74396040600004)POINT (-73.98618832999995 40.74719742800005)POINT (-73.96381415999991 40.66438028900006)POINT (-73.9887022609999 40.75631849600006)POINT (-73.99234604799994 40.72765775100004)POINT (-73.96345111099993 40.77942387500008)POINT (-73.97988117799991 40.75078470000005)POINT (-73.98132148499991 40.74929540500005)POINT (-73.93857438799995 40.83444801300004)POINT (-73.9597108289999 40.76052611800009)
أكثر...
http://stackoverflow.com/questions/20776205/point-in-polygon-with-geojson-in-python
However, my output says that none of the points is inside any of the polygons.Since the points are defined on the map of NYC, and my polygons define community districts of NYC, this doesn't make sense.
This is my full code:
import urllib2, json, csvimport numpyfrom shapely.geometry import shape, Pointdef readJson(url): """ Returns a json file specified in @url. """ response = urllib2.urlopen(url) return json.loads(response.read())def readCSV(url): """ Returns a csv file specified in @url. """ response = urllib2.urlopen(url) return csv.DictReader(response, delimiter=',') def getRegions(): """ Returns a dictionary formed by the id of a region and its coordinates. """ dict = {} url = "https://nycdatastables.s3.amazonaws.com/2013-08-19T18:22:23.125Z/community-districts-polygon.geojson" data = readJson(url) for district in data['features']: dict[district['id']] = district['geometry'] return dictdef getPOIs(): """ Returns a list of tuples of POIs lat/long coordinates. """ urls = ["https://nycdatastables.s3.amazonaws.com/2013-06-04T18:02:56.019Z/museums-and-galleries-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-12-16T21:49:55.716Z/nyc-parking-facilities-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-20T16:06:05.136Z/mapped-in-ny-companies-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-11T18:59:27.269Z/nyc-public-school-locations-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-07-29T15:49:03.498Z/nyc-private-school-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-07-01T16:25:00.297Z/nyc-special-education-school-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-05T14:35:56.387Z/basic-description-of-colleges-and-universities-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-05T20:25:17.301Z/operating-sidewalk-cafes-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-04T14:40:48.764Z/community-health-centers-results.csv", "http://data.nycprepared.org/ar/dataset/dycd-after-school-programs-housing/resource/d2306a8f-59d1-4cb0-b527-ba44ca8eec3a", "http://data.nycprepared.org/ar/dataset/dycd-after-school-programs-family-support-programs-for-seniors/resource/493f52a4-0a49-4f5f-8937-78e69fb77852", "https://nycdatastables.s3.amazonaws.com/2013-07-02T15:29:20.692Z/agency-service-center-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-13T18:39:44.536Z/nyc-2012-farmers-market-list-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-10-18T21:14:52.348Z/nyc-grocery-stores-final.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-18T14:29:37.626Z/subway-entrances-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-04T17:58:59.335Z/map-of-monuments-results.csv", "https://nycdatastables.s3.amazonaws.com/2013-06-18T20:17:34.010Z/nyc-landmarks-results.csv"] POIs = [] for url in urls: csv = readCSV(url) print url for line in csv: latitude = line.get('latitude', None) longitude = line.get('longitude', None) if latitude is not None and longitude is not None: POIs.append((float(latitude), float(longitude))) return POIsdef POIsInRegion(regions, POIs): """ Returns a dictionary formed by the id of a region and the number of POIs that falls in this region. """ dict = {} for key, value in regions.iteritems(): dict[key] = 0 polygon = shape(value) print value# print polygon for p in POIs: point = Point(p[0], p[1]) print point if polygon.contains(point): dict[key] += 1 return dictif __name__ == '__main__': # Geographical Features regions_bbox = getRegions() regions_number = len(regions_bbox) print "Regions: ", regions_number print "Reading POIs..." POIs = getPOIs() print len(POIs) print "Done Reading POIs" print "Calculating POIs per Region" POIsPerRegion = POIsInRegion(regions_bbox, POIs) print POIsPerRegionI'm wondering what I'm missing.
All data are valid and obtained at http://nycprepared.org.
Example:
First polygon (related to this data -- map can be view):
{u'type': u'Polygon', u'coordinates': [[[-74.01115034338935, 40.725777216880076], [-74.01081238260726, 40.72578980255575], [-73.99931241700145, 40.71755024177738], [-74.0005783921612, 40.71557090292421], [-74.0004546306596, 40.71436504759887], [-74.0009317433238, 40.71326325304528], [-74.00086781464309, 40.71156815886214], [-74.00050986097233, 40.710984270453366], [-74.0014714023208, 40.70974655432324], [-73.99919451174895, 40.70794737635146], [-74.00118685262828, 40.70685982577175], [-74.00098276757775, 40.706416712992926], [-74.00140666691954, 40.70617938802063], [-74.0005829704798, 40.70543393364888], [-74.00143661245443, 40.70487217770522], [-74.00206142563805, 40.70541700463557], [-74.00256965059467, 40.70552357952349], [-74.00268512768794, 40.70544924811865], [-74.00197070463986, 40.704737867482024], [-74.00217184875859, 40.70460659646367], [-74.00243071075865, 40.70467785800434], [-74.00238670806719, 40.70479566367446], [-74.00332307270787, 40.70562859522005], [-74.00363187169326, 40.70542980675174], [-74.00287843069457, 40.70483135798975], [-74.00297246475286, 40.70476649143739], [-74.00364446183866, 40.7054216846388], [-74.00438344417225, 40.70511325985482], [-74.00426687037428, 40.70501166020203], [-74.00459003883672, 40.70478775294501], [-74.00349632042324, 40.7037967692677], [-74.0037198704304, 40.703654481944646], [-74.00480628900745, 40.70464206905116], [-74.00518805133365, 40.70442053569055], [-74.00492580564406, 40.70421180838463], [-74.00521160900402, 40.704405532235306], [-74.00535027224755, 40.70431007996152], [-74.00415742154165, 40.70323163208721], [-74.004272587521, 40.703015666411474], [-74.00559242609006, 40.70408256373161], [-74.00601862790923, 40.703873152890765], [-74.00614010577931, 40.70397866027174], [-74.00659591913875, 40.70368590245182], [-74.00530412596078, 40.70255986563303], [-74.00549427805095, 40.70243138095038], [-74.00553546138175, 40.70264552110683], [-74.00567522315887, 40.702584071694936], [-74.00678502257081, 40.70356812690006], [-74.00930907655481, 40.70195460302253], [-74.00869964313567, 40.70113986754221], [-74.00775549150639, 40.70154800167179], [-74.00759136204219, 40.70132808104811], [-74.00853611510774, 40.70091969574503], [-74.008349275591, 40.70066934838819], [-74.00862036163862, 40.700552163210666], [-74.00960052263287, 40.701865481917835], [-74.01116664217923, 40.70147720220825], [-74.01109588602678, 40.70127499934884], [-74.01128983905524, 40.701249982244235], [-74.01079959311005, 40.70020721300695], [-74.01115033556837, 40.70089840010092], [-74.01135836291354, 40.70085195863632], [-74.01133409344382, 40.70056835368232], [-74.0115029114371, 40.70081505897418], [-74.01172926817475, 40.70077011805966], [-74.01163147918649, 40.7004582182481], [-74.01185378549589, 40.700738921450146], [-74.01208668214691, 40.700681308739156], [-74.01185672623029, 40.70010710340832], [-74.01196196116918, 40.70003754559543], [-74.01239160032284, 40.700620528094], 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