Westra - Python geospatial development develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development
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Copyright 2016 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
Second edition: May 2013
Third edition: May 2016
Production reference: 1180516
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78528-893-7
www.packtpub.com
Author
Erik Westra
Reviewer
Lou Mauget
Commissioning Editor
Kunal Parikh
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Cover Work
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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 as well as real-time messaging and payments systems. 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 he works for companies worldwide.
He is also the author of the Packt titles Python Geospatial Analysis and Building Mapping Applications with QGIS as well as the forthcoming title Modular Programming with Python .
I would like to thank Ruth for being so awesome, and my children for their patience. Without you, none of this would have been possible.
Lou Mauget learned to program long ago at Michigan State University while learning to use software to design a cyclotron. Afterward, he worked for 34 years at IBM. He went on to work for several consulting firms, including a long-term engagement with the railroad industry. He is currently consulting for Keyhole Software of Leawood, Kansas. Last spring, he wrote MockOla, a drag-drop wireframe prototyping tool for Keyhole. Lou has coded in C++, Java, and newer languages. His current interests include microservices, Docker, Node.js, NoSQL, geospatial systems, functional programming, mobile, single-page web applicationsany new language or framework. Lou occasionally blogs about software technology. He is a coauthor of three computer books. He wrote two IBM DeveloperWorks XML tutorials and an LDAP tutorial for WebSphere Journal. Lou co-wrote several J2EE certification tests for IBM. He has been a reviewer for other publishers.
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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.
, Geospatial Development Using Python , provides an overview of the Python programming language and the concepts behind geospatial development. Major use cases of geospatial development and recent and upcoming developments in the field are also covered.
, GIS, introduces the core concepts of location, distance, units, projections, shapes, datums, and geospatial data formats, before discussing the process of working with geospatial data by hand.
, Python Libraries for Geospatial Development , explores the major Python libraries available for geospatial development, including the available features, how to install them, the major concepts you need to understand about the libraries, and how they can be used.
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