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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 route-type service


Building a route based on a specified type value, such as a Barrier Free Route or Standard Pedestrian Route value, is great for your users. How to build different route types is based on the available data connected to our indoor graph of ways. This example will allow a user to select the barrier-free route and our service will generate a path, avoiding obstacles such as stairs:

Getting ready

We need to access some more data on our network to allow routing types. The type of route is based on a network line type, which is stored as an attribute on each LineString. To classify our route types, we have the following lookup table schema:

Value

Route type

0

Indoor route

1

Outdoor route

2

Elevator

3

Stairs

Therefore, we want to avoid any stairs segments, which technically means avoiding type_id = 3.

Note

Optionally, you could create a lookup table to store all the possible types and their equivalent weights. These values could then be included...

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