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{ "item_title" : "Spatial Autocorrelation", "item_author" : [" Daniel Griffith", "Bin Li "], "item_description" : "Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a comprehensive exploration of one of the most critical concepts in spatial analysis. Beginning with foundational theories and clear definitions, this book thoroughly sets out the concepts and theory of spatial autocorrelation through detailed conceptualisation and practical examples. The detailed case studies illustrate the pervasive influence of spatial patterns in scientific inquiry, with an eye toward future research and innovative techniques. It provides practical methodologies for quantifying spatial autocorrelation, complete with step-by-step guidance and real-world applications. Spatial Autocorrelation equips graduate students, researchers, and professionals with the knowledge and tools to confidently navigate and apply spatial analysis in their respective domains, making it a vital addition to a number of disciplines that utilise spatial analysis.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/44/341/743/0443417431_b.jpg", "price_data" : { "retail_price" : "180.00", "online_price" : "180.00", "our_price" : "180.00", "club_price" : "180.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Spatial Autocorrelation|Daniel Griffith

Spatial Autocorrelation : A Fundamental Property of Geospatial Phenomena

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Overview

Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a comprehensive exploration of one of the most critical concepts in spatial analysis. Beginning with foundational theories and clear definitions, this book thoroughly sets out the concepts and theory of spatial autocorrelation through detailed conceptualisation and practical examples. The detailed case studies illustrate the pervasive influence of spatial patterns in scientific inquiry, with an eye toward future research and innovative techniques. It provides practical methodologies for quantifying spatial autocorrelation, complete with step-by-step guidance and real-world applications. Spatial Autocorrelation equips graduate students, researchers, and professionals with the knowledge and tools to confidently navigate and apply spatial analysis in their respective domains, making it a vital addition to a number of disciplines that utilise spatial analysis.

This item is Non-Returnable

Details

  • ISBN-13: 9780443417436
  • ISBN-10: 0443417431
  • Publisher: Elsevier
  • Publish Date: August 2025
  • Dimensions: 8.9 x 6 x 0.7 inches
  • Shipping Weight: 1.35 pounds
  • Page Count: 338

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