- Paperback: 368 pages
- Publisher: ESRI Press; 1st edition (28 Feb. 2013)
- Language: English
- ISBN-10: 1589482824
- ISBN-13: 978-1589482821
- Product Dimensions: 20.5 x 2.4 x 25.1 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (3 customer reviews)
Amazon Bestsellers Rank:
718,549 in Books (See Top 100 in Books)
- #225 in Books > Science & Nature > Earth Sciences & Geography > Geography > Cartography, Geodesy & Geographic Information Systems
- #2995 in Books > Computers & Internet > Computer Science > Programming > Languages
- #3106 in Books > Computers & Internet > Computer Science > Programming > Languages & Tools
- See Complete Table of Contents
Python Scripting for ArcGIS Paperback – 28 Feb 2013
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About the Author
<strong>Paul A. Zandbergen</strong> is an associate professor of geography at the University of New Mexico in Albuquerque. His areas of expertise include geographic information science; spatial and statistical analysis techniques using GIS; error and uncertainty in spatial data; GIS applications in criminology, economics, health, and spatial ecology; terrain analysis and modelng; and community‐based mapping using GIS and GPS.
Top Customer Reviews
Most Helpful Customer Reviews on Amazon.com (beta) (May include reviews from Early Reviewer Rewards Program)
Yes, I am a "shoot first, and ask questions later" type of guy. Jennings' text lets me dive in. But Zandbergen's is a well-written text that covers a number of tools beyond what Jennings treats. Zandbergen's exercises, in accompanying .pdf's, are--not very good. But I keep both books on my desk.
The only one problem is monotonicity. Through chapters, the author show the code without any real-world analysis. So you may feel boring at the middle of this book. To avoid falling into such a pitfall, I recommend you to pull the real data from the web and apply it to the codes shown in this book.
Finally, As is clear from the tittle, this book is exclusively for the people who are using ArcGIS, not for people who wanna conduct geospatial analysis by using python. If you don't have or don't plan to use ArcGIS, this book is not useful.
Paul has a thorough understanding of ArcPy and Python and he does a marvelous job teaching the basics and providing some useful inside tips. He is also comprehensive and thorough. For the instructor, you will need to get your lab up to ArcGIS 10.1. For the self-learner, the text comes with a 6-month license along withe data and labs.
No need to wait any longer. This is the text for learning ArcPy and now is the time.
There is a lot of buy-in necessary to make this work: mostly, beating your head against the programming wall over and over and over and over and over again when little issue pop up that makes things not work. Python at least is somewhat forgiving.
If you are a student in a course where this book is required... buy it. You'll need it for a while if you plan to make GIS a career.