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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

Mapnik in depth


In this section, we will examine the Python interface of the Mapnik toolkit in much more detail. The Python documentation for Mapnik (http://media.mapnik.org/api_docs/python) is confusing and incomplete, so you may find this section to be a useful reference guide while writing your own Mapnik-based programs.

Note

The Mapnik toolkit is written in C++, and provides bindings to let you access it via Python. Not every feature implemented in Mapnik is available from Python; only those features that are available and relevant to the Python developer will be discussed here.

Data sources

Before you can access a given set of geospatial data within a map, you need to set up a Mapnik Datasource object. This acts as a "bridge" between Mapnik and your geospatial data:

You typically create the data source using one of the convenience constructors described here. Then you add that data source to any Mapnik Layer objects, which will use that data:

layer.datasource = datasource

A single Datasource...

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