Spatial Autocorrelation

A Fundamental Property of Geospatial Phenomena

Daniel Griffith, Bin Li (Autoren)

Buch | Softcover

338 Seiten

2025
Elsevier - Health Sciences Division (Verlag)
978-0-443-41743-6 (ISBN)

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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.

Dr. Daniel A. Griffith is an Ashbel Smith Professor Emeritus of Geospatial Information Sciences at the University of Texas at Dallas, United States; a past affiliated Professor in the College of Public Health at the University of South Florida, United States; and an Adjunct Professor in the Department of Resource Economics and Environmental Sociology at the University of Alberta, Canada. He specializes in spatial statistics, quantitative-urban-economic geography, and urban public health. Dr. Bin Li is a Professor at Central Michigan University, United States, where he previously served as the Chair of the Department of Geography and Environmental Studies. Prior to this role, he was a faculty member at the University of Miami. He specializes in Geographic Information Science, with extensive research and teaching experience in spatial statistics, geographic information science, and cartography.

1. What is spatial autocorrelation? A conceptualization
2. Spatial autocorrelation is everywhere!
3. Quantifying spatial autocorrelation: an intuitive approach with few equations
4. Reflections on spatial autocorrelation model specifications for beginners
5. Geographic distributions: univariate spatial autocorrelation
6. Areal associations: multivariate spatial autocorrelation
7. Spatial autocorrelation and spatial interaction
8. Some spatial autocorrelation final frontiers: a partial future research agenda
9. Summary and concluding remarks

Erscheinungsdatum	12.08.2025
Verlagsort	Philadelphia
Sprache	englisch
Maße	152 x 229 mm
Gewicht	450 g
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Geologie
ISBN-10	0-443-41743-1 / 0443417431
ISBN-13	978-0-443-41743-6 / 9780443417436
Zustand	Neuware