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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd 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 (15) Chapters Close

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. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Using the ShapeEditor

Congratulations! You have now finished implementing the last of the ShapeEditor's features, and you have a complete working geospatial application built using GeoDjango. Using the ShapeEditor, you can import shapefiles, view their features and attributes, make changes to the features' geometries, add and delete features, and then export the shapefile again.

This is certainly a useful application. Even if you don't have a full-blown GIS system installed, you can now make quick and easy changes to a shapefile's contents using the ShapeEditor. And, of course, the ShapeEditor is a great starting point for the development of your own geospatial applications.

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