Package: pychrone
Python 3 module for generatings isochrones from pointHistory0.0.2 - Added several types of isochrone generation: walking, driving or biking.0.0.1 - Initial version, only walking isochrones supported.How to installYou can installpychroneusingpip:pip install -U pychroneor via sources:python setup.py installIf you have serveral python versions installed you will probably usepip3andpython3commands accordingly.FeaturesThis module generatesisochronefrom the set point with defined latitude and longtitude with defined time.All details of walking routes and coordinates are from OpenStreetMap, so you will need an internet connection for this module to work.Also module will try to optimize isochrone shape withα-shape algorithmto make it more natural and clean.Main function of module takes the following arguments:Create_isochrone(longtitude, latitude, speed=4.5, output=”geojson”, route=”walk”)longitude- longitude of point to create isochrone from;latitude- latitude of point to create isochrone from;speed- pedestrian speed in km/h, default is 4.5;output- output format, default is “geojson”, wich generates validGeoJSONpolygon. Other option is “shape”, that generatesShapelyobject;route- type of routing for isochrone generation. Default is “walk”, that means that isochrone will be generated for pedestrians. Other possible options are “drive” (for cars) and “bike” (for bikes).Usage:In this small examplepychronewill return 5-minute walking isochrone from point with coordinates (37.847591, 55.920284) in GeoJSON format assuming pedestrian speed as 4.5 km/h:IN:frompychroneimportCreate_isochroneCreate_isochrone(37.847591,55.920284,5)OUT:{"coordinates":[[[37.8460729,55.9174363],[37.8464059,55.9175894],[37.847672,55.9178994],[37.8485452,55.9179112],[37.8489915,55.9179172],[37.8490785,55.9179534],[37.8502528,55.918252],[37.8508537,55.9190215],[37.8521326,55.9193121],[37.8523401,55.9195966],[37.8523826,55.9196535],[37.8526471,55.920433],[37.8527015,55.9206193],[37.852584,55.9210867],[37.8512857,55.9218685],[37.8500913,55.9216824],[37.8481064,55.9218883],[37.8480311,55.9218827],[37.8464856,55.9216235],[37.8458339,55.9220129],[37.8452347,55.9223078],[37.8451153,55.9223076],[37.843753,55.9214498],[37.8434385,55.9211565],[37.8432352,55.9210091],[37.843344,55.9201537],[37.8436392,55.9200188],[37.8442215,55.9195563],[37.8445491,55.9189478],[37.8453806,55.9179848],[37.8458505,55.9173872],[37.8460729,55.9174363]]],"type":"Polygon"}And here we will build a 5-minute biking isochrone from the same point in GeoJSON format assuming bike speed as 15 km/h:IN:frompychroneimportCreate_isochroneCreate_isochrone(37.847591,55.920284,5,speed=15,route='bike')OUT:{"coordinates":[[[37.8567192,55.9159054],[37.8566902,55.917482],[37.8574327,55.9183582],[37.8596827,55.9179265],[37.8606264,55.9174921],[37.8607145,55.9174898],[37.8616878,55.9182527],[37.8623098,55.9184031],[37.8623315,55.9186923],[37.8623347,55.9187348],[37.8617334,55.9187584],[37.8601876,55.9216012],[37.8601928,55.9216375],[37.8625041,55.9234816],[37.8606823,55.9239551],[37.8602133,55.9240344],[37.859944,55.9240621],[37.8596538,55.9240835],[37.858323,55.9265212],[37.858095,55.9258876],[37.8579296,55.9254856],[37.8577715,55.9252287],[37.857535,55.9249517],[37.8571648,55.9246052],[37.8570523,55.9244923],[37.8567998,55.9242646],[37.8564721,55.9239992],[37.8551838,55.9236002],[37.8550675,55.9236167],[37.854535,55.9236923],[37.8539227,55.9237794],[37.8537368,55.9238044],[37.8517414,55.9236685],[37.8506852,55.9233489],[37.8503534,55.9223657],[37.8481771,55.9215311],[37.8461656,55.9213583],[37.8453504,55.9211411],[37.8434385,55.9211565],[37.8424404,55.922531],[37.8414824,55.9219328],[37.839682,55.9204985],[37.8381736,55.919545],[37.8379558,55.9195288],[37.8378175,55.9195185],[37.8368864,55.9194489],[37.8355386,55.9177032],[37.8349836,55.9175541],[37.8351224,55.9173399],[37.8353122,55.91707],[37.8354487,55.9168568],[37.8357087,55.9170776],[37.8382045,55.9171129],[37.8392138,55.9171165],[37.8404943,55.9171611],[37.8418891,55.9172097],[37.8435035,55.915587],[37.8435064,55.9154623],[37.841976,55.9137454],[37.8421039,55.9136196],[37.842337,55.9138113],[37.8445747,55.9138635],[37.8453206,55.9139934],[37.8453969,55.9139946],[37.8456471,55.9139985],[37.8458805,55.9140022],[37.8461503,55.9140065],[37.8466495,55.9139142],[37.8470988,55.9138738],[37.8472903,55.9138372],[37.8485149,55.9145846],[37.8494446,55.9152114],[37.8494888,55.9152412],[37.850287,55.9162542],[37.8526657,55.9159628],[37.8546403,55.9159654],[37.8549614,55.9159579],[37.8565237,55.9159109],[37.8566544,55.915907],[37.8567192,55.9159054]]],"type":"Polygon"}