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PostGIS Cookbook

You're reading from   PostGIS Cookbook For web developers and software architects this book will provide a vital guide to the tools and capabilities available to PostGIS spatial databases. Packed with hands-on recipes and powerful concepts

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Product type Paperback
Published in Jan 2014
Publisher
ISBN-13 9781849518666
Length 484 pages
Edition Edition
Languages
Tools
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Toc

Table of Contents (18) Chapters Close

PostGIS Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Moving Data In and Out of PostGIS FREE CHAPTER 2. Structures that Work 3. Working with Vector Data – The Basics 4. Working with Vector Data – Advanced Recipes 5. Working with Raster Data 6. Working with pgRouting 7. Into the Nth Dimension 8. PostGIS Programming 9. PostGIS and the Web 10. Maintenance, Optimization, and Performance Tuning 11. Using Desktop Clients Index

Using external scripts to embed other libraries in order to calculate a Voronoi diagram – advanced


While the previous recipe works fine for typical cases, faster approaches are available. Rather than functions built into Python, we can leverage Python libraries that are wrappers for compiled C++ code, resulting in an order-of-magnitude improvement in speed. The price we pay is writing a function to embed the faster functionality. This price is a one-time cost of thought and consideration and well worth the pay off for faster computation that will be, in some cases, orders-of-magnitude faster than our native Python function.

In addition, the pattern we will be using, that is, passing data from PostGIS to an external package and returning information from that package, is useful for doing a variety of processing that is not available in PostGIS or PostgreSQL natively, but may otherwise be available in an external library or program. In other words, once PostGIS has a native Voronoi function...

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