rasclass: Supervised Raster Image Classification
Version 0.2.2

Software to perform supervised and pixel based raster image classification. It has been designed to facilitate land-cover analysis. Five classification algorithms can be used: Maximum Likelihood Classification, Multinomial Logistic Regression, Neural Networks, Random Forests and Support Vector Machines. The output includes the classified raster and standard classification accuracy assessment such as the accuracy matrix, the overall accuracy and the kappa coefficient. An option for in-sample verification is available.

Browse man pages Browse package API and functions Browse package files

AuthorDaniel Wiesmann <daniel.wiesmann@tecnico.ulisboa.pt> and David Quinn <djq@urbmet.com>
Date of publication2016-05-02 06:31:45
MaintainerDaniel Wiesmann <daniel.wiesmann@tecnico.ulisboa.pt>
LicenseGPL (>= 2)
Version0.2.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rasclass")

Man pages

buildFormula: Build a formula for Raster Classification
checkRasclass: Check rasclass object for internal consistency
classifyRasclass: Classsifier function for rasclass objects
rasclass-class: Class "rasclass"
rasclassMlc: Maximum likelihood classifier
rasclass-package: Supervised Raster Image Classification
rasclassRaster-class: Class "rasclassRaster"
readRaster: Read ESRI asciigrid files
readRasterFolder: Load ESRI asciigrid Data for Classification
setRasclassData: Add data from dataframe to rasclass object
writeRaster: Load ESRI asciigrid Data for Classification

Functions

View,rasclass-method Man page
buildFormula Man page Source code
buildFormula,rasclass-method Man page
checkRasclass Man page Source code
checkRasclass,rasclass-method Man page
classifyRasclass Man page Source code
classifyRasclass,rasclass-method Man page
image,rasclass-method Man page
image,rasclassRaster-method Man page
rasclass Man page
rasclass-class Man page
rasclass-package Man page
rasclassMlc Man page Source code
rasclassMlc,rasclass-method Man page
rasclassRaster Man page
rasclassRaster-class Man page
readRaster Man page Source code
readRaster,character-method Man page
readRasterFolder Man page Source code
readRasterFolder,character-method Man page
setRasclassData Man page Source code
setRasclassData,data.frame-method Man page
summary,rasclass-method Man page
writeRaster Man page Source code
writeRaster,rasclassRaster-method Man page

Files

NAMESPACE
NEWS
R
R/rasclassMlc.R
R/checkRasclass.R
R/buildFormula.R
R/readRasterFolder.R
R/writeRaster.R
R/1_setClasses.R
R/serviceFunctions.R
R/classifyRasclass.R
R/readRaster.R
R/setRasclassData.R
MD5
DESCRIPTION
man
man/rasclass-package.Rd
man/rasclassRaster-class.Rd
man/classifyRasclass.Rd
man/setRasclassData.Rd
man/rasclass-class.Rd
man/readRaster.Rd
man/buildFormula.Rd
man/writeRaster.Rd
man/rasclassMlc.Rd
man/readRasterFolder.Rd
man/checkRasclass.Rd
rasclass documentation built on May 19, 2017, 6:03 p.m.