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Algorithmic Foundations of Geographic Information Systems (Lecture Notes in Computer Science)
 
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Algorithmic Foundations of Geographic Information Systems (Lecture Notes in Computer Science) (Paperback)

by Marc van Kreveld (Editor), Jürgen Nievergelt (Editor), Thomas Roos (Editor), Peter Widmayer (Editor)
2.0 out of 5 stars See all reviews (1 customer review)

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Editorial Reviews

Product Description
This tutorial survey brings together two lines of research and development whose interaction promises to have significant practical impact on the area of spatial information processing in the near future: geographic information systems (GIS) and geometric computation or, more particularly, geometric algorithms and spatial data structures. In nine uniformly structured and coherent chapters, the authors present a unique survey ranging from the history and basic characteristics to current issues of precision and robustness of geometric computing. This textbook is ideally suited for advanced courses on GIS and applied geometric algorithms. Research and design professionals active in the area will find it valuable as a state-of-the-art survey.

Product Details

  • Paperback: 287 pages
  • Publisher: Springer (May 8, 2000)
  • Language: English
  • ISBN-10: 3540638180
  • ISBN-13: 978-3540638186
  • Product Dimensions: 9.1 x 6.1 x 0.8 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 2.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.com Sales Rank: #2,797,917 in Books (See Bestsellers in Books)


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9 of 10 people found the following review helpful:
2.0 out of 5 stars very general, July 1, 2001
By A Customer
I checked this out from the library and was glad that I didn't buy it without reading it. It has very few equations and algorithms, and is more of a general overview or listing of computations done in GIS. Those hoping for a cookbook for geometric and analytic geography operations would best turn to Keith Clark's Analytic and Computer Cartograhy or a even good survey handbook for a better overview of the most important algorithms and formulas.
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