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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

Generating evacuation polygons based on an indoor shortest path


Architects and transportation planners, for example, need to plan where and how many exits a building will require based on various standards and safety policies. After a building is built, a facility manager and security team usually do not have access to this information. Imagine that there is an event to be planned and you want to see what areas can be evacuated within a certain time, which are constrained by your list of exits in the building.

During this exercise, we want to create some polygons for a specific start point inside a major building, showing which areas can be evacuated in 10, 20, 30, and 60 second intervals. We assume that people will walk at 5 km/hr or 1.39 m/s, which is their normal walking speed. If we panic and run, our normal run speed increases to 6.7 m/s or 24.12 km/hr.

Our results are going to generate a set of polygons representing our evacuation zones based on the building hallways. We need to define...

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