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Anotace knihy

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

Parametry knihy

Zařazení knihy Knihy v angličtině Earth sciences, geography, environment, planning Geography Geographical information systems (GIS) & remote sensing

• Plný název: Spatial Autocorrelation
• Podnázev: A Fundamental Property of Geospatial Sciences
• Autor: Daniel Griffith, Bin Li
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 340
• EAN: 9780443417436
• ISBN: 0443417431
• ID: 47173521
• Nakladatelství: Elsevier Science
• Hmotnost: 450 g
• Rozměry: 229 × 152 mm
• Datum vydání: 01. June 2025

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