Python Geospatial Development - Second Edition By Erik Westra

Key Features
Build your own complete and sophisticated mapping applications in Python.
Walks you through the process of building your own online system for viewing and editing geospatial data
Practical, hands-on tutorial that teaches you all about geospatial development in Python

What You Will Learn
Access, manipulate and display geospatial data from within your Python programs
Master the core geospatial concepts of location, distance, units, projections and datums
Read and write geospatial data in both vector and raster format
Perform complex, real-world geospatial calculations using Python
Store and access geospatial information in a database
Use points, lines and polygons within your Python programs
Use Python-based tools for converting geospatial data into good looking maps
Build complete web-based mapping applications using Python

About
Geospatial development links your data to places on the Earth’s surface. 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.

Python Geospatial Development - Second Edition teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python.

Python Geospatial Development teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python.

This book provides an overview of the major geospatial concepts, data sources and toolkits. It teaches 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. Because maps are such an important aspect of geospatial programming, 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 Geodjango.

Whether you want to write quick utilities to solve spatial problems, or develop sophisticated web applications based around maps and geospatial data, this book includes everything you need to know.

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