Python Geospatial Analysis Essentials by Erik Westra
English | 25 Jun. 2015 | ISBN: 1782174516 | 200 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 10.85 MB                                                

Python is a highly expressive language that makes it easy to write sophisticated programs. Combining high-quality geospatial data with Python geospatial libraries will give you a powerful toolkit for solving a range of geospatial programming tasks.

Process, analyze, and display geospatial data using Python libraries and related tools

About This Book

Learn to build a complete geospatial application from scratch using Python
Create good-looking maps based on the results of your analysis
This is a fast-paced guide to help you explore the key concepts of geospatial to obtain high quality spatial data
Who This Book Is For

If you are an experienced Python developer and wish to get up-to-speed with geospatial programming, then this book is for you. While familiarity with installing third-party Python libraries would be an advantage, no prior knowledge of geospatial programming is required.

In Detail

The book begins with an introduction to geospatial analysis and programming and explains the ideas behind geospatial data. You will explore Python libraries for building your own geospatial applications. You will learn to create a geospatial database for your application using PostGIS and the psycopg2 library, and see how the Mapnik library can be used to create attractive and useful maps.

Finally, you will learn to use the Shapely and NetworkX libraries to create, analyze, and manipulate complex geometric objects, before implementing a system to match GPS recordings against a database of roads to produce a heatmap of the most frequently used roads.