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Book synopsis

Spatial Autocorrelation: A Fundamental Property of Geospatial Sciences 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.

• Explores a fundamental geospatial concept through a blend of multidisciplinary topics
• Provides an educational focus on spatial autocorrelation in a conceptually-friendly manner
• Offers a progressive, iterative layout spanning basic to advanced concepts
• Emphasizes novel as well as benchmark empirical examples and simulation experiments
• Covers in-depth spatial autocorrelation in various disciplines, being nascent in some of them

Book details

Book category Books in English Earth sciences, geography, environment, planning Geography Geographical information systems (GIS) & remote sensing

• Full title: Spatial Autocorrelation
• Subtitle: A Fundamental Property of Geospatial Sciences
• Author: Daniel Griffith, Bin Li
• Language: English
• Binding: Paperback
• Number of pages: 340
• EAN: 9780443417436
• ISBN: 0443417431
• ID: 47173521
• Publisher: Elsevier Science
• Weight: 450 g
• Dimensions: 229 × 152 mm
• Date of publishing: 01. June 2025

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