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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

Choosing your geospatial data source


If you need to obtain map data, images, elevations, or place names for use in your geospatial applications, the sources we have covered should give you everything you need. Of course, this is not an exhaustive list—other sources of data are available, and can be found online using a search engine or sites such as http://freegis.org.

The following table lists the various requirements you may have for geospatial data in your application development, and which data source(s) may be most appropriate in each case:

Requirement

Suitable data sources

Simple base map

World Borders Dataset

Shaded relief (pseudo-3D) maps

GLOBE or NED data processed using gdaldem; Natural Earth raster images

Street map

OpenStreetMap

City outlines

TIGER (US); Natural Earth urban areas

Detailed country outlines

GSHHS Level 1

Photorealistic images of the Earth

Landsat

City and place names

GNIS (US) or Geonet Names Server (elsewhere)

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