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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 centerlines from polygons


For any routing algorithm to work, we need a set of network LineStrings to perform our shortest path query on. Here, you, of course, have some options, ones that you can download to the OSM data to clean up the roads. Secondly, you could digitize your own set of network lines or, thirdly, you can try to autogenerate these lines.

The generation of this network LineString is of utmost importance and determines the quality and types of routes that we can generate. In an indoor environment, we have no roads and street names; instead, we have hallways, rooms, lounges, elevators, ramps, and stairs. These features are our roads, bridges, and highway metaphors where we want to create routes for people to walk.

How we can create basic network LineStrings from polygons that represent hallways is what we are going to show you in this recipe.

Getting ready

This exercise requires us to have a plan of some sort in digital form with polygons representing hallways and other...

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