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Learning Geospatial Analysis with Python-Second Edition

You're reading from   Learning Geospatial Analysis with Python-Second Edition An effective guide to geographic information systems and remote sensing analysis using Python 3

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783552429
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python FREE CHAPTER 2. Geospatial Data 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modeling 9. Real-Time Data 10. Putting It All Together Index

Mapping NextBus locations


Now, we are ready to use this information to create our own map. The best source of freely available street mapping data is the OpenStreetMap (OSM) project: http://www.openstreetmap.org.

OSM also has a publicly available REST API called StaticMapLite to create static map images: http://staticmap.openstreetmap.de.

The OSM StaticMapLite API provides you with a GET API based on Google's static map API to create simple map images with a limited number of point markers and lines. A GET API, as opposed to REST, allows you to append name/value parameter pairs after a question mark on the URL. A REST API makes the parameters part of the URL path. We'll use the API to create our own NextBus API map on demand with a red pushpin icon for the bus location.

In the next example, we have condensed the previous script down to a compact function named nextbus(). The nextbus() function accepts an agency, route, command, and epoch as arguments. The command defaults to vehicleLocations...

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