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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

In this chapter, we learned about the various tools and techniques involved in developing geospatial applications that can be accessed via a web interface. We saw how web applications can be structured, learned that web application frameworks can simplify the process of building a web application, and saw how user-interface libraries make the job of implementing web applications much easier. We then looked at the concept of web services and saw how to implement a great-circle distance calculator as a web service. We also looked at how map rendering can be implemented as a web service and saw how tile caching can speed up the process of displaying maps within a web browser.

We next looked at the concept of slippy maps and saw how these can be built using a stack of off-the-shelf components. We also examined a number of common protocols for sharing and manipulating geospatial data.

Finally, we took an in-depth look at three particular tools and techniques that we will make use of in...

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