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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

Visualizing an indoor routing service

With our wonderful API created, it's time now to visualize this indoor route returned as GeoJSON on a map. We will now dive into the Django template components to create the HTML, JS, and CSS for our front-facing web page that displays a simple slippy web map using Openlayers 3.4.0. and Bootstrap CSS.

Our new web map will display the GeoJSON on the map with a nice style alongside a menu bar where we will include later functionality.

Visualizing an indoor routing service

Getting ready

We need to build a few new folders and files to store new static and template content for our Django web application. Let's begin doing this by creating the /web_analysis/templates folder followed by the /web_analysis/static folder.

Inside our /static/ folder, we will place the nondynamic content of the JavaScript and CSS files. The /templates/ folder will store the HTML template files used to create our web pages.

Next up, let's tell Django /web_analysis/settings.py about the location of our new...

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