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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Product type Paperback
Published in Sep 2019
Publisher
ISBN-13 9781789959277
Length 456 pages
Edition 3rd Edition
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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 (15) Chapters Close

Preface 1. Section 1: The History and the Present of the Industry FREE CHAPTER
2. Learning about Geospatial Analysis with Python 3. Learning Geospatial Data 4. The Geospatial Technology Landscape 5. Section 2: Geospatial Analysis Concepts
6. Geospatial Python Toolbox 7. Python and Geographic Information Systems 8. Python and Remote Sensing 9. Python and Elevation Data 10. Section 3: Practical Geospatial Processing Techniques
11. Advanced Geospatial Python Modeling 12. Real-Time Data 13. Putting It All Together 14. Other Books You May Enjoy

Tracking vehicles

For our first real-time data source, we'll use the excellent NextBus API. NextBus (http://www.nextbus.com/) is a commercial service that tracks public transportation for municipalities including buses, trolleys, and trains. People riding these transit lines can then track the arrival time of the next bus.

What's even better is that, with the customer's permission, NextBus publishes tracking data through a REpresentational State Transfer (REST) API. Using URL API calls, developers can request information about a vehicle and receive an XML document about its location. This API is a straightforward way to begin using real-time data.

If you go to NextBus, you'll see a web interface as shown in the following screenshot, showing data for the city of Los Angeles, California metro system:

The system lets you select several parameters to learn the...

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