Applied Spatial Data Analysis with R

• Main Authors: Bivand, Roger S. (Author), Pebesma, Edzer J. (Author), Gómez-Rubio, Virgilio (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2008.
• Series: Use R!
• Subjects: Medicine.; Epidemiology.; Geography.; Ecology.; Econometrics.; Regional economics.; Spatial economics.; Medicine & Public Health.; Regional/Spatial Science.; Environmental Monitoring/Analysis.; Geography, general.

Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial d...

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.