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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

Summary

In this chapter, we continued our implementation of the ShapeEditor by adding three important functions: the list view and the ability to import and export shapefiles. While these aren't very exciting features, they are a crucial part of the ShapeEditor.

In the process of implementing these features, we learned how to use Django's templating language to display a list of records within a web page. We saw how to use the zipfile standard library module to extract the contents of an uploaded shapefile before opening that shapefile using OGR, and we discussed the concept of wrapping and unwrapping geometries to deal with the quirky way these are handled by the shapefile format. Finally, we saw how to use OGR to create a new shapefile that can be compressed using the zipfile library before being returned to the caller using the Django web interface.

With this functionality out of the way, we can now turn our attention to the most interesting parts of the ShapeEditor: the code...

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