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Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena

AUTHOR Li, Bin; Griffith, Daniel; Griffith, Danie et al.
PUBLISHER Elsevier (08/14/2025)
PRODUCT TYPE Paperback (Paperback)

Description
Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a state-of-the-art exploration of one of the most pivotal spatial analysis concepts. Beginning with foundational theories and clear definitions, it sets out the concepts and basic theory of spatial autocorrelation through elaborated conceptualizations and practical examples. In-depth case studies reveal the pervasive influence of spatial patterns in scientific inquiry while anticipating emerging research and innovative techniques. It offers practical methods for quantifying spatial autocorrelation, complete with step-by-step instructions and real-world examples.

Spatial Autocorrelation equips graduate students, researchers, and professionals with the knowledge and tools to confidently comprehend, navigate, and apply spatial analysis in their respective domains, making it an ideal companion for technical reference books, and a vital addition to the libraries of any discipline utilizing spatial analysis.

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Product Details
ISBN-13: 9780443417436
ISBN-10: 0443417431
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 338
Carton Quantity: 22
Product Dimensions: 6.00 x 0.70 x 8.90 inches
Weight: 1.35 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Technology & Engineering | Remote Sensing & Geographic Information Systems
Technology & Engineering | Earth Sciences - Geology
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Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a state-of-the-art exploration of one of the most pivotal spatial analysis concepts. Beginning with foundational theories and clear definitions, it sets out the concepts and basic theory of spatial autocorrelation through elaborated conceptualizations and practical examples. In-depth case studies reveal the pervasive influence of spatial patterns in scientific inquiry while anticipating emerging research and innovative techniques. It offers practical methods for quantifying spatial autocorrelation, complete with step-by-step instructions and real-world examples.

Spatial Autocorrelation equips graduate students, researchers, and professionals with the knowledge and tools to confidently comprehend, navigate, and apply spatial analysis in their respective domains, making it an ideal companion for technical reference books, and a vital addition to the libraries of any discipline utilizing spatial analysis.

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Your Price  $178.20
Paperback