GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series) 1st Edition, Kindle Edition

4.9 out of 5 stars 4 ratings
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ISBN-13: 978-1446274323
ISBN-10: 1446274322
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Editorial Reviews

Review

Xiao’s book is a must-have for any GIS programmers, from beginners to professionals. Its sample programs in Python provide a rich library for key GIS algorithms. 

-- Fahui Wang

This is a welcome book, which covers the major geographical algorithms for vector and point-based analyses, along with network travel analysis and optimal solution searches, in practical detail. Its concentration on applied Python examples is timely, and it is sure to be the go-to handbook for anyone wanting to build from-the-ground up GIS functions into Python software. In addition the algorithms are a good starting point for anyone looking to implement functions in other languages.
-- Andrew Evans

About the Author

Ningchuan Xiao is Associate Professor of Geography at the Ohio State University. He has taught a wide ranges of courses in GIS, spatial analysis, and cartography. His research focuses on the development of effective computational methods in spatial and temporal data handling.

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4.9 out of 5 stars
4.9 out of 5
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Reviewed in the United States on March 4, 2020
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Reviewed in the United States on May 1, 2017
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Reviewed in the United States on April 21, 2016
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5 star
5.0 out of 5 stars giscience, geo-spatial IT
Reviewed in India on April 20, 2016
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