Book Image

Python Geospatial Development - Third Edition

By : Erik Westra
Book Image

Python Geospatial Development - Third Edition

By: Erik Westra

Overview of this book

Geospatial development links your data to locations on the surface of the Earth. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you’ll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums, and coordinate systems. This book provides an overview of the major geospatial concepts, data sources, and toolkits. It starts by showing you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Further on, the book teaches you how to build your own slippy map interface within a web application, and finishes with the detailed construction of a geospatial data editor using the GeoDjango framework. By the end of this book, you will be able to confidently use Python to write your own geospatial applications ranging from quick, one-off utilities to sophisticated web-based applications using maps and other geospatial data.
Table of Contents (20 chapters)
Python Geospatial Development Third Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 9. Improving the DISTAL Application

In the previous chapter, we wrote a complete implementation of the DISTAL system that works as advertised: a user can choose a country, enter a search radius in miles, click on a starting point, and see a high-resolution map showing all the place names within the desired search radius. Unfortunately, the DISTAL application is lacking in a number of areas, and even a cursory look at it will reveal some major problems. In this chapter, we will work on solving these problems. Along the way, we will:

  • Learn about the anti-meridian and solve the problems it can cause when working with latitude and longitude-based coordinates

  • See how to add a zoom feature to our CGI scripts

  • Discover the consequences of working with huge polygons, and how you can improve performance by breaking these polygons down into smaller pieces

  • Make huge improvements to the speed of our DISTAL application by splitting the shoreline data into tiles and displaying a single tile rather...