Package: rasclass
Type: Package
Title: Supervised Raster Image Classification
Version: 0.2.1
Date: 2011-11-14
Author: Daniel Wiesmann <daniel.wiesmann@ist.utl.pt> and David Quinn
        <djq@mit.edu>
Maintainer: Daniel Wiesmann <daniel.wiesmann@ist.utl.pt>
Description: This package contains functions 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.
License: GPL (>= 2)
LazyLoad: yes
Imports: methods, car, nnet, RSNNS, e1071, randomForest
Packaged: 2012-01-23 11:03:00 UTC; Tam
Repository: CRAN
Date/Publication: 2012-01-23 12:32:24
Built: R 3.1.0; ; 2013-11-28 01:00:25 UTC; unix
