Applied Spatial Data Analysis with R

This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable com...

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Bibliographic Details
Main Authors: Bivand, Roger S., Pebesma, Edzer J. (Author), Gómez-Rubio, Virgilio (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2008, 2008
Edition:1st ed. 2008
Series:Use R!
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Handling Spatial Data in R
  • Hello World: Introducing Spatial Data
  • Classes for Spatial Data in R
  • Visualising Spatial Data
  • Spatial Data Import and Export
  • Further Methods for Handling Spatial Data
  • Customising Spatial Data Classes and Methods
  • Analysing Spatial Data
  • Spatial Point Pattern Analysis
  • Interpolation and Geostatistics
  • Areal Data and Spatial Autocorrelation
  • Modelling Areal Data
  • Disease Mapping