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GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series) by [Xiao, Ningchuan]
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GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series) 1st Edition, Kindle Edition


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Product description

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. 

Product details

  • Format: Kindle Edition
  • File Size: 13851 KB
  • Print Length: 334 pages
  • Publisher: SAGE Publications Ltd; 1 edition (9 Nov. 2015)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B017RCLMKU
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #1,735,474 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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