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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

Sources of geospatial data in raster format


One of the most enthralling aspects of programs such as Google Earth is the ability to "see" the Earth as you appear to fly above it. This is achieved by displaying satellite and aerial photographs carefully stitched together to provide the illusion that you are viewing the Earth's surface from above.

While writing your own version of Google Earth would be an almost impossible task, it is possible to obtain free satellite imagery in the form of raster format geospatial data, which you can then use in your own geospatial applications.

Raster data is not just limited to images of the Earth's surface however; other useful information can be found in raster format—for example, digital elevation maps (DEM) contain the height of each point on the Earth's surface, which can then be used to calculate the elevation of any desired point. DEM data can also be used to generate two-dimensional images that represent different heights using different shades or...

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