Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena

— —

Daniel Griffith (Ashbel Smith Professor Emeritus) Bin Li (Central Michigan University, United States)

Spatial Autocorrelation

A Fundamental Property of Geospatial Phenomena

Daniel Griffith (Ashbel Smith Professor Emeritus), Bin Li (Central Michigan University, United States)

$327.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Elsevier - Health Sciences Division
08 August 2025

Geology & the lithosphere; Geographical information systems (GIS) & remote sensing

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.

By: Daniel Griffith (Ashbel Smith Professor Emeritus), Bin Li (Central Michigan University, United States)
Imprint: Elsevier - Health Sciences Division
Country of Publication: United States [Currently unable to ship to USA: see Shipping Info]
Dimensions: Height: 229mm, Width: 152mm,
Weight: 450g
ISBN: 9780443417436
ISBN 10: 0443417431
Pages: 338
Publication Date: 08 August 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

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.