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Python Geospatial Analysis Cookbook

You're reading from  Python Geospatial Analysis Cookbook

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

Table of Contents (20) Chapters close

Python Geospatial Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Setting Up Your Geospatial Python Environment 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 Other Geospatial Python Libraries
Mapping Icon Libraries
Index

Building an indoor routing system in 3D


How to route through one or multiple buildings or floors is what this recipe is all about. This is, of course, the most complex situation involving complex data collection, preparation, and implementation processes. We cannot go into all the complex data details of collection and transformation from ACAD to PostGIS, for example; instead, the finished data is provided.

To create an indoor routing application, you need an already digitized routing network set of lines representing the areas where people can walk. Our data represents the first and second floor of a university building. The resulting indoor route, shown in the following screenshot, starts from the second floor and travels down the stairs to the first floor, all the way through the building, heading up the stairs again to the second floor, and finally reaching our destination.

Getting ready

For this recipe, we will need to complete quite a few tasks to prepare for the indoor 3D routing. Here...

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