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Python Geospatial Analysis Cookbook

You're reading from   Python Geospatial Analysis Cookbook Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783555079
Length 310 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Geospatial Python Environment FREE CHAPTER 2. Working with Projections 3. Moving Spatial Data from One Format to Another 4. Working with PostGIS 5. Vector Analysis 6. Overlay Analysis 7. Raster Analysis 8. Network Routing Analysis 9. Topology Checking and Data Validation 10. Visualizing Your Analysis 11. Web Analysis with GeoDjango A. Other Geospatial Python Libraries
B. Mapping Icon Libraries
Index

Creating an indoor web routing service


Let's take all the effort we put into Chapter 8, Network Routing Analysis, out onto the World Wide Web. Our routing service will simply accept a starting point location, an x, y coordinate pair, a floor level, and a destination location. The indoor routing service will then calculate the shortest path and return a complete route in the form of a GeoJSON file.

Getting ready

To layout the tasks ahead, let's list out what we need to accomplish at a high level so that we're clear about where we are going:

  1. Create a URL pattern to call a route service.

  2. Build a view to handle an incoming URL request and deliver the appropriate GeoJSON route web response:

    1. Accept incoming request parameters.

      Start x coordinate.

      Start y coordinate.

      Start floor number.

      End x coordinate.

      End y coordinate.

      End floor number.

    2. Return GeoJSON LineString.

      Route geometry.

      Route length.

      Route walk time.

    We also need to let our new database user named saturn in order to have access to the tables located...

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