What this book covers
Chapter 1, Geospatial Analysis and Techniques, walks the reader through the process of downloading sample geospatial data, before writing a simple Python program to read and analyze that sample data.
Chapter 2, Geospatial Data, focuses on the data used for geospatial analysis: how to obtain it, why good data is important, the different formats that geospatial data can come in, and how to generate your own spatial datasets.
Chapter 3, Spatial Databases, provides a brief introduction to creating geospatial databases, how to store data in a spatially-enabled database, and how to perform efficient queries against that data.
Chapter 4, Creating Maps, looks at how to use the Mapnik library to produce great-looking maps.
Chapter 5, Analyzing Geospatial Data, guides the reader through the process of writing spatial analysis programs using Python. Based on the datasets downloaded in Chapter 2, Geospatial Data, and using the major Python libraries for geospatial analysis, this chapter uses a recipe-like format to solve a range of typical spatial analysis problems.
Chapter 6, Building a Complete Geospatial Analysis System, uses all the various libraries and techniques covered in the earlier chapters to build a complete geospatial analysis system.
