Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

Peter J. Diggle

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ISBN 10: 1466560231 ISBN 13: 9781466560239

Published by Taylor and Francis Inc, 2013

Language: English

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Bibliographic Details

Title

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

Publisher

Taylor and Francis Inc

Publication Date

2013

Language

English

ISBN 10

1466560231

ISBN 13

9781466560239

Binding

HRD

Edition

3rd Edition

Condition

New

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About this title

Synopsis

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.

About the Author

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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