Supervised Raster Image Classification
Build a formula for Raster Classification
Check rasclass object for internal consistency
Classsifier function for rasclass objects
Class "rasclass"
Supervised Raster Image Classification
Maximum likelihood classifier
Class "rasclassRaster"
Read ESRI asciigrid files
Load ESRI asciigrid Data for Classification
Add data from dataframe to rasclass object
Load ESRI asciigrid Data for Classification
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.