CRAN/E | rasclass

rasclass

Supervised Raster Image Classification

Installation

About

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.

Key Metrics

Version 0.2.2
Published 2016-05-02 3079 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks rasclass results

Downloads

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Maintainer

Maintainer

Daniel Wiesmann

Authors

Daniel Wiesmann
David Quinn

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rasclass archive

Imports

methods
car
nnet
RSNNS
e1071
randomForest