Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

Peter J. Diggle

ISBN 10: 1466560231 ISBN 13: 9781466560239

Editorial: Taylor & Francis Inc, 2013

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

Editor

Taylor & Francis Inc

Fecha de publicaci�n

2013

Idioma

Ingl�s

ISBN 10

1466560231

ISBN 13

9781466560239

Encuadernaci�n

Hardback

Edici�n

3� Edici�n

Estado

New

Cat�logos de vendedores

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Sinopsis

Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data.

Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences.

This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author’s website.

Acerca del autor

Peter Diggle is a Distinguished University Professor and group leader of CHICAS at Lancaster University. Dr. Diggle is also an adjunct professor of biostatistics at both Johns Hopkins University’s and Yale University’s Schools of Public Health, adjunct senior researcher in the International Research Institute for Climate and Society at Columbia University, professor of epidemiology and statistics at the University of Liverpool, a trustee for Biometrika, founding co-editor and advisory board member for Biostatistics, and chair of the Strategic Skills Fellowships Panel of the Medical Research Council. His research focuses on the development and application of statistical methods to the biomedical and health sciences.

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