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Python Geospatial Development - Second Edition

You're reading from   Python Geospatial Development - Second Edition If you're experienced in Python here's an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required ‚Äì this book takes you through it all, step by step.

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Product type Paperback
Published in May 2013
Publisher Packt
ISBN-13 9781782161523
Length 508 pages
Edition 2nd Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Table of Contents (18) Chapters Close

Python Geospatial Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. GIS in the Database 7. Working with Spatial Data 8. Using Python and Mapnik to Generate Maps 9. Putting It All Together – a Complete Mapping System 10. ShapeEditor – Implementing List View, Import, and Export 11. ShapeEditor – Selecting and Editing Features Index

Reading and writing geospatial data


In this section, we will look at some examples of tasks you might want to perform which involve reading and writing geospatial data in both vector and raster format.

Task – calculate the bounding box for each country in the world

In this slightly contrived example, we will make use of a shapefile to calculate the minimum and maximum latitude/longitude values for each country in the world. This "bounding box" can be used, among other things, to generate a map of a particular country. For example, the bounding box for Turkey would look like this:

Start by downloading the World Borders Dataset from:

http://thematicmapping.org/downloads/world_borders.php

Decompress the .zip archive and place the various files that make up the shapefile (the .dbf, .prj, .shp, and .shx files) together in a suitable directory.

Next, we need to create a Python program which can read the borders for each country. Fortunately, using OGR to read through the contents of a shapefile is trivial...

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