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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
Languages
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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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Toc

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

You have now finished implementing the first part of the ShapeEditor application. Even at this early stage, you have made good progress, learning how GeoDjango works, designing the application, and laying the foundations for the functionality you will implement in the next two chapters.

In this chapter, you created your own GeoDjango project, designed the ShapeEditor system in detail, and broke it down into individual applications within the Django project. You defined the various database models that will be used by the ShapeEditor and set up a PostGIS database for storing the ShapeEditor's data. You then configured the built-in admin application so it could view and edit the database models you set up, and you used this application to view and edit your data. Finally, you saw how GeoDjango's GeoModelAdmin class allows the user to view and edit geospatial data using a slippy map.

In the next chapter, we will implement a view to display the list of available shapefiles as...

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