Preface

With the increasing use of map-based web sites and spatially aware devices and applications, geospatial development is a rapidly growing area. As a Python developer, you can't afford to be left behind. In today's location-aware world, every Python developer can benefit from understanding geospatial concepts and development techniques.

Working with geospatial data can get complicated because you are dealing with mathematical models of the earth's surface. Since Python is a powerful programming language with many high-level toolkits, it is ideally suited to geospatial development. This book will familiarize you with the Python tools required for geospatial development. It walks you through the key geospatial concepts of location, distance, units, projections, datums, and geospatial data formats. We will then examine a number of Python libraries and use these with freely available geospatial data to accomplish a variety of tasks. The book provides an in-depth look at storing spatial data in a database and how you can use spatial databases as tools to solve a range of geospatial problems.

It goes into the details of generating maps using the Mapnik map-rendering toolkit and helps you build a sophisticated web-based geospatial map-editing application using GeoDjango, Mapnik, and PostGIS. By the end of the book, you will be able to integrate spatial features into your applications and build complete mapping applications from scratch.

This book is a hands-on tutorial, teaching you how to access, manipulate, and display geospatial data efficiently using a range of Python tools for GIS development.