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rasclass (version 0.1.0)

Supervised Raster Image Classification

Description

This package contains functions to perform supervised and pixel based raster image classification. It can be used for land-cover analysis in a straightforward way. Two classification algorithms are implemented: a classifier using Multinomial Logistic Regression and a Maximum Likelihood Classifier (MLC). The output includes the classified raster and standard classification accuracy assessment.

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Version

Install

install.packages('rasclass')

Monthly Downloads

147

Version

0.1.0

License

GPL (>= 2)

Maintainer

Daniel Wiesmann

Last Published

August 22nd, 2011

Functions in rasclass (0.1.0)

accuracyAssessment

Accuracy Assessment of the Classification

rasclass-package

Supervised Raster Image Classification

readRasterFolder

Load ESRI asciigrid Data for Classification

Build a formula for Raster Classification

rasclassRaster-class

Class "rasclassRaster"

Read ESRI asciigrid files

Maximum Likelihood Classifier

Multinomial Logit Classsifier

Check rasclass object for internal consistency

setRasclassData

Add data from dataframe to rasclass object

Load ESRI asciigrid Data for Classification

Class "rasclass"