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This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data. The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also: · Equips you with the tools to both interpret and apply spatial statistical methods · Engages with the unique considerations that apply when working with geographic data · Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection. Codice articolo LU-9781529707441
This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.
The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also:
· Equips you with the tools to both interpret and apply spatial statistical methods
· Engages with the unique considerations that apply when working with geographic data
· Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection.
Informazioni sull?autore: Peter A. Rogerson is SUNY (State University of New York) Distinguished Professor in the Department of Geography at the University at Buffalo, Buffalo, New York, USA. He also holds an adjunct appointment in the Department of Biostatistics.
Titolo: Spatial Statistical Methods for Geography
Casa editrice: Sage Publications Ltd, GB
Data di pubblicazione: 2021
Legatura: Paperback
Condizione: New
Da: TextbookRush, Grandview Heights, OH, U.S.A.
Condizione: Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. Codice articolo 53761938
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