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Learning R for Geospatial
Analysis
Leverage the power of R to elegantly manage crucial
geospatial analysis tasks
Michael Dorman
BIRMINGHAM - MUMBAI
Learning R for Geospatial Analysis
Copyright © 2014 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval
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critical articles or reviews.
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However, Packt Publishing cannot guarantee the accuracy of this information.
First published: December 2014
Production reference: 1191214
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78398-436-7
www.packtpub.com
Credits
Author
Michael Dorman
Reviewers
Dr. Amrinder Arora
Dan Hammer
Baburao Kamble
Dr. Robin Lovelace
Dipanjan Sarkar
Dr. Makhan Virdi
Commissioning Editor
Akram Hussain
Acquisition Editor
Greg Wild
Content Development Editor
Mohammed Fahad
Technical Editor
Ankita Thakur
Copy Editors
Pranjali Chury
Adithi Shetty
Indexer
Rekha Nair
Graphics
Abhinash Sahu
Production Coordinator
Alwin Roy
Cover Work
Alwin Roy
Project Coordinator
Rashi Khivansara
Proofreaders
Simran Bhogal
Stephen Copestake
Maria Gould
Ameesha Green
About the Author
Michael Dorman
is currently a PhD candidate at the Department of Geography
and Environmental Development, Ben-Gurion University of the Negev. His research
explores the response of planted pine forests to changing climate through remote
sensing and dendrochronology. He uses R extensively for time series and spatial
statistical analyses and visualization. In spring 2013, he prepared and taught a
course named
Introduction to Programming for Spatial Data Analysis
at the Ben-Gurion
University of the Negev, introducing R as an environment for spatial data analysis to
undergraduate Geography students. The course material served as a foundation for
this book.
Michael holds a Master's degree in Life Sciences from the Ben-Gurion University of
the Negev and a Bachelor's degree in Plant Sciences in Agriculture from The Hebrew
University of Jerusalem. He has authored or coauthored eight papers in scientific
literature and actively participated in 18 scientific conferences.
I would like to express my gratitude to all the people from whom
I have learned more about R and to those who have created this
wonderful programming language. A special thanks goes to the
excellent team at Packt Publishing for making this book possible.
This book is dedicated to my wife, Hila, who unconditionally
supported me every step of the way.

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