ddd1600 / isocronut

For a given geospatial location, calculate an isochrone (same time) contour around it.

isocronut

For a given geospatial location, calculate an isochrone (same time) contour around it. Any point on an x-minute isochrone contour should take a total of x minutes of travel to reach from the origin. Any point within an x-minute contour should be reachable in fewer than x minutes.

Use

import isocronut

origin = '111 W Washington, Chicago'
duration = 10

isochrone = isocronut.get_isochrone(origin, duration)

or generate your own html file with an embedded Google Maps with isochrone (which will be written to isochrone.html in the current directory):

import isocronut

origin = '111 W Washington, Chicago'
duration = 10

isochrone = isocronut.generate_isochrone_map(origin, duration)

Parameters

origin : Google Maps parseable origination address (str) or [lat, lng] 2-list ([scalar, scalar])

duration : Number of minutes (scalar) for the isochrone contour

number_of_angles : Number of points defining the isochrone (int) -- think of it as a resolution, default: 12

tolerance : Number of minutes (scalar) that a test point can be away from duration to be considered acceptable, default: 0.1

access_type : Either 'personal' or 'business' (str), specifying if you are using a personal or business API access for Google Maps, default: 'personal'

• If 'personal', you won't have access to traffic conditions. The format of the 'google_maps.cfg' config file must be (e.g. if your api_number were 1234567890, you would replace <your api number> below with 1234567890):

[api]
api_number=<your api number>

• If 'business', you will be able to use current traffic conditions, which will tighten your contour distance. The format of the 'google_maps.cfg' config file must be:

[api]
client_id=<your client id>
crypto_key=<your crypto key>

config_path : Path location (str) of the 'google_maps.cfg' file, default 'config/'

Returns

Isochrone contour as a list of [lat, lng] 2-lists -- [[lat1, lng1], [lat2, lng2], ..., [latn, lngn]] where n = number_of_angles.

Dependencies

This module makes use of the following Python modules that you must have installed.

• hashlib
• hmac
• base64
• urlparse
• ConfigParser
• simplejson
• urllib2
• time
• datetime
• math