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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 elevation profile


Creating an elevation profile is very helpful when trying to visualize a 3D terrain cross-section or simply to see the elevation gain of a bike tour. In this example, we will define our own LineString geometry and extract the elevation values from the DEMs that are located every 20 m along our line. The analysis will generate a new CSV file that we can open in Libre Office Calc or Microsoft Excel to visualize the new data as a line chart.

The 2D view of our line plotted on top of the elevation model as seen inside QGIS looks like this:

Getting ready

This recipe calls for GDAL and Shapely. Make sure that you have them installed and are running them inside your python virtual environment that you set up earlier. To visualize your final CSV file, you must also install Libre Office Calc or some other charting software. The code to execute this is located at /ch07/code/ch07-02_elev_profile.py.

How to do it...

Running the script directly from your command line will generate...

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