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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Example – uploading a GeoJSON dataset

The mapbox module has a Datasets class that is used to create and populated datasets in the account. This demonstration code will read from a zip code GeoJSON file and load one zip code GeoJSON object into a new dataset. Pass the secret access token to the Datasets class:

from mapbox import Datasetsimport jsondatasets = Datasets(access_token='{secrettoken}')create_resp = datasets.create(name="Bay Area Zips",               description = "ZTCA zones for the Bay Area")listing_resp = datasets.list()dataset_id = [ds['id'] for ds in listing_resp.json()][0]data = json.load(open(r'ztca_bayarea.geojson'))for count,feature in enumerate(data['features'][:1]):    resp = datasets.update_feature(dataset_id, count, feature)

This will ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content