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Applied Spatial Data Analysis with R

✍ Scribed by Roger S. Bivand, Edzer J. Pebesma, Virgilio Gómez-Rubio (auth.)

Publisher: Springer New York
Year: 2008
Tongue: English
Leaves: 379
Series: Use R!
Edition: 1
Category: Library

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✦ Synopsis

This book addresses the needs of researchers and students using R to analyze spatial data across a range of disciplines and professions. The book is co-authored by a group involved in the Comprehensive R Archive Network.

✦ Table of Contents

Front Matter....Pages I-XIV
Front Matter....Pages 17-19
Hello World : Introducing Spatial Data....Pages 1-15
Classes for Spatial Data in R ....Pages 21-55
Visualising Spatial Data....Pages 57-80
Spatial Data Import and Export....Pages 81-111
Further Methods for Handling Spatial Data....Pages 113-126
Customising Spatial Data Classes and Methods....Pages 127-148
Front Matter....Pages 149-153
Spatial Point Pattern Analysis....Pages 155-190
Interpolation and Geostatistics....Pages 191-235
Areal Data and Spatial Autocorrelation....Pages 237-272
Modelling Areal Data....Pages 273-309
Disease Mapping....Pages 311-341
Back Matter....Pages 343-375

✦ Subjects

Epidemiology; Ecology; Environmental Monitoring/Analysis; Quantitative Geology; Econometrics

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