Books by Erik Westra

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Python Geospatial Development

Build applications for GIS development using Python. Analyze and visualize Geo-Spatial data. Comprehensive coverage of key GIS concepts. Recommended best practices for storing spatial data in a database. Draw maps, place data points onto a map, and interact with maps. A practical tutorial with plenty of step-by-step instructions to help you develop a mapping application from scratch.

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Python Geospatial Development, 2nd Edition

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.

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Python Geospatial Analysis Essentials

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.

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Modular Programming with Python

Python has evolved over the years and has become the primary choice of developers in various fields. The purpose of this book is to help readers develop readable, reliable, and maintainable programs in Python.

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Python Geospatial Development, 3rd Edition

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.

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Building Mapping Applications with QGIS

QGIS is one of the premiere open source Geographical Information Systems. While developing Python geospatial applications can be challenging, QGIS simplifies the process by combining the necessary geoprocessing libraries with a sophisticated user interface, all of which can be directly controlled using Python code.