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About this item
Highlights
- Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a state-of-the-art exploration of one of the most pivotal spatial analysis concepts.
- Author(s): Daniel Griffith & Bin Li
- 338 Pages
- Technology, Remote Sensing & Geographic Information Systems
Description
Book Synopsis
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.Dimensions (Overall): 8.9 Inches (H) x 6.0 Inches (W) x .7 Inches (D)
Weight: 1.35 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 338
Genre: Technology
Sub-Genre: Remote Sensing & Geographic Information Systems
Publisher: Elsevier
Format: Paperback
Author: Daniel Griffith & Bin Li
Language: English
Street Date: August 14, 2025
TCIN: 1006342780
UPC: 9780443417436
Item Number (DPCI): 247-50-5408
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.7 inches length x 6 inches width x 8.9 inches height
Estimated ship weight: 1.35 pounds
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