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

Summary


In this chapter, we looked at various techniques for using OGR, GDAL, Shapely, and pyproj within Python programs to solve a range of real-world problems. In doing so, we learned how to calculate the bounding box for a country, how to use Shapely to calculate the common border between two countries, how to analyze the contents of a DEM file, how to change projections and datums, how the buffer() function can be used to find points close to a polygon, how to use pyproj to calculate the length of a geometry, and how to calculate a point a given distance and bearing from a starting point.

Up to now, we have written programs that work directly with shapefiles and other data sources to load and then process geospatial data. In the next chapter, we will look at ways in which databases can be used to turbo-charge your geospatial development. Rather than having to read spatial data into memory one feature at a time, you can perform spatial queries directly in the database, allowing you to...