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Westra - Python geospatial development: build a complete and sofisticated mapping application from scratch using Python tools for GIS development

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Westra Python geospatial development: build a complete and sofisticated mapping application from scratch using Python tools for GIS development
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Python Geospatial Development

Python Geospatial Development

Copyright 2010 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: December 2010

Production Reference: 1071210

Published by Packt Publishing Ltd. 32 Lincoln Road Olton Birmingham, B27 6PA, UK.

ISBN 978-1-849511-54-4

www.packtpub.com

Cover Image by Asher Wishkerman ( <> )

Credits

Author

Erik Westra

Reviewers

Tomi Juhola

Silas Toms

Acquisition Editor

Steven Wilding

Development Editor

Hyacintha D'Souza

Technical Editor

Kartikey Pandey

Indexers

Hemangini Bari

Tejal Daruwale

Editorial Team Leader

Mithun Sehgal

Project Team Leader

Priya Mukherji

Project Coordinator

Jovita Pinto

Proofreader

Jonathan Todd

Graphics

Nilesh R. Mohite

Production Coordinator

Kruthika Bangera

Cover Work

Kruthika Bangera

About the Author

Erik Westra has been a professional software developer for over 25 years, and has worked almost exclusively in Python for the past decade. Erik's early interest in graphical user-interface design led to the development of one of the most advanced urgent courier dispatch systems used by messenger and courier companies worldwide. In recent years, Erik has been involved in the design and implementation of systems matching seekers and providers of goods and services across a range of geographical areas. This work has included the creation of real-time geocoders and map-based views of constantly changing data. Erik is based in New Zealand, and works for companies worldwide.

"For Ruth,

The love of my life."

About the Reviewers

Tomi Juhola is a software development professional from Finland. He has a wide range of development experience from embedded systems to modern distributed enterprise systems in various roles, such as tester, developer, consultant, and trainer.

Currently, he works in a company called Lindorff and shares this time between development lead duties and helping other projects to adopt Scrum and agile methodologies. He likes to spend his free time with new and interesting development languages and frameworks.

Silas Toms is a GIS Analyst for ICF International, working at the San Francisco and San Jose offices. His undergraduate degree is in Geography (from Humboldt State University), and he is currently finishing a thesis for an MS in GIS at San Francisco State University. He has been a GIS professional for four years, working with many local and regional governments before taking his current position. Python experience was gained through classes at SFSU and professional experience. This is the first book he has helped review.

I would like to thank everyone at Packt Publishing for allowing me to help review this book and putting up with my ever-shifting schedule. I would also like to thank my family for being supportive in my quest to master this somewhat esoteric field, and for never asking if I am going to teach with this degree.

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Preface

Open Source GIS (Geographic Information Systems) is a growing area with the explosion of Google Maps-based websites and spatially-aware devices and applications. The GIS market is growing rapidly, and as a Python developer you can't afford to be left behind. In today's location-aware world, all commercial Python developers can benefit from an understanding of GIS concepts and development techniques.

Working with geo-spatial data can get complicated because you are dealing with mathematical models of the Earth's surface. Since Python is a powerful programming language with high-level toolkits, it is well-suited to GIS development. This book will familiarize you with the Python tools required for geo-spatial development. It introduces GIS at the basic level with a clear, detailed walkthrough of the key GIS concepts such as location, distance, units, projections, datums, and GIS data formats. We then examine a number of Python libraries and combine these with geo-spatial data to accomplish a variety of tasks. The book provides an in-depth look at the concept of storing spatial data in a database and how you can use spatial databases as tools to solve a variety of geo-spatial problems.

It goes into the details of generating maps using the Mapnik map-rendering toolkit, and helps you to build a sophisticated web-based geo-spatial 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 a complete mapping application from scratch.

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

What this book covers

, Geo-Spatial Development Using Python , introduces the Python programming language and the main concepts behind geo-spatial development

, GIS , discusses many of the core concepts that underlie GIS development. It examines the common GIS data formats, and gets our hands dirty exploring U.S. state maps downloaded from the U.S. Census Bureau website

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