This page presents in-depth
discussions of specific R Language analysis and programming topics, as
well as documentation to optional (Add-On) R packages of interest to
ecologists. This information is intended for the experienced R user.
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Graphics and Plotting techniques
Preface
to Murrell text on Graphics and Plotting in R (150 kb)
Describes the contents and approach taken
by Paul Murrell's R Graphics and Plotting textbook.
Chap 1
of Murrell text on Graphics and Plotting in R (850 kb PDF)
The first chapter of Paul Murrell's book
summarizes the R Language graphics subsystem.
In-Depth
Analysis and Programming techniques
Wickham:
Reshaping Data in R (260 kb)
This paper discusses a conceptual framework for data reshaping, and describes an
implementation of these principles in the reshape R package
Anselin:
An Introduction to Spatial Regression (100 kb)
This research note contains introduction
and tutorial (with worked-out example) for the R spdep package for
spatial regression.
Anselin:
Review of Cluster Analysis Software (700 kb PDF)
A review of R and three other open-source
software packages for performing spatial analysis of cancer clusters.
Anselin:
Spatial Regression Analysis in R: A Workbook (450 kb PDF)
A set of laboratory exercises developed
for graduate Spatial Econometrics course at U of Illinois
Urbana-Champaign.
Baddeley
and Turner: spatstat: An R Package for Analyzing Spatial Point Patterns
(1000 kb)
Article describes in detail and
demonstrates model fitting and simulation using the spstat package for
spatial point pattern analysis.
Bivand:
The R Project and spatial data analysis: Open source software and
user/developer fusion (195 kb)
This presentation discusses the current
status of R spatial data analysis and prospects for future development,
including GIS integration.
Furlanello,
et al: GIS and the Random Forest Predictor: Integration in R for
Disease Risk Assessment (460 kb)
Paper describing the integration of
PostgreSQL, GRASS GIS and R software packages to solve disease
risk-classification problem.
Peng: Multidimensional Point Process
Models in R (190 kb)
This paper describes the R add-on ptproc
package for performing multidimensional point process analysis.
Examples: Earthquake / wildfire occurrence data.
Briber
and Diggle: geoR: Package for Geostatistical Data Analysis - An
illustrative session (1040 kb)
Demonstration and discussion of the major
features of the R language geoR geostatistical data analysis package.
R
News Summaries: R Spatial Statistics and geoR Packages (3000 kb)
Two brief newsletter articles that
summarize many of the R spatial analysis add-on packages. A good place
to start learning about them.
R
Spatial Data Processing and Analysis Packages: A Summary
The Spatial Data in R
website: discusses the SP data package and other packages.
R Data Import and Export Utilities: A Summary
A description of utilities for importing
and exporting standard scientific data formats into the R environment.
Documentation
for R 'add-on' Geospatial Analysis packages
Technical Reference Manuals for
a sampling of the most popular spatially-aware R package downloads
clim.pact
package manual (420 kb)
clim.pact:
retrieves and downscales monthly climate data for global-scale
analyses
maps
package manual (90 kb)
maps:
contains map datasets and routines to plot them.
maptools
package manual (90 kb)
maptools:
A useful package for reading and writing spatial data
files in ESRI Shape File format.
PBSmapping
package (425 kb)
PBSmapping:Pacific
Biological Station-developed package with GIS-like mapping and
plotting methods
RArcInfo
package manual (90 kb)
RArcInfo:
Functions to import data from ESRI Arc Map GIS
Version 7.x binary
coverages.
hdf5 package manual(140 kb)
hdf5: Package
for reading and writing Hierarchical Data Format (hdf) files.
NetCDF Data package manual (140 kb)
RNetCDF:implementation of Unidata's NetCDF (Network Common Data Form)
file access tools.
RColorBrewer
package manual (420 kb)
RColorBrewer:
Contains color palettes for drawing high-quality thematic maps.
Rgdal Data Abstraction Library (70 kb)
rgdal: R
language bindings to Geospatial Data Abstraction Library (GDAL) and
Proj4 map projection library..
shapefiles
package manual (420 kb)
shapefiles:
core classes for spatial (point/line/polygon) data file processing.
sp
package manual (420 kb)
sp:
core classes for spatial (point/line/polygon) data file processing.
spgrass6
map projection package (40 kb)
spgrass6:The
interface between R and the GRASS 6.0 Geographic Information System.
splancs
package manual (420 kb)
splancs:
Spatial and Space-Time Point Pattern Analysis methods.
spdep
package manual (90 kb)
spdep:
collection of functions to create spatial weights matrix
object from polygon continuities.
spatstat
package manual (420 kb)
spstat:
Spatial Point Pattern data analysis for modeling and
simulation using multi type point data sets.
tripack
package manual (420 kb)
tripack:
triangulation and Voronoi mosaic creation and analysis.