Package: rasclass 0.2.2

Daniel Wiesmann

rasclass: Supervised Raster Image 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.

Authors:Daniel Wiesmann <[email protected]> and David Quinn <[email protected]>

rasclass_0.2.2.tar.gz
rasclass_0.2.2.tar.gz(r-4.5-noble)rasclass_0.2.2.tar.gz(r-4.4-noble)
rasclass_0.2.2.tgz(r-4.4-emscripten)rasclass_0.2.2.tgz(r-4.3-emscripten)
rasclass.pdf |rasclass.html
rasclass/json (API)
NEWS

# Install 'rasclass' in R:
install.packages('rasclass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 8 scripts 163 downloads 11 exports 65 dependencies

Last updated 9 years agofrom:680b3bbf74. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-linuxNOTEOct 12 2024

Exports:buildFormulacheckRasclassclassifyRasclassimagerasclassMlcreadRasterreadRasterFoldersetRasclassDatasummaryViewwriteRaster

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecowplotcpp11DerivdoBydplyre1071fansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigproxypurrrquantregR6randomForestRColorBrewerRcppRcppEigenrlangRSNNSscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Supervised Raster Image Classificationrasclass-package rasclass
Build a formula for Raster ClassificationbuildFormula buildFormula,rasclass-method
Check rasclass object for internal consistencycheckRasclass checkRasclass,rasclass-method
Classsifier function for rasclass objectsclassifyRasclass classifyRasclass,rasclass-method
Class "rasclass"image,rasclass-method rasclass-class summary,rasclass-method View,rasclass-method
Maximum likelihood classifierrasclassMlc rasclassMlc,rasclass-method
Class "rasclassRaster"image,rasclassRaster-method rasclassRaster rasclassRaster-class
Read ESRI asciigrid filesreadRaster readRaster,character-method
Load ESRI asciigrid Data for ClassificationreadRasterFolder readRasterFolder,character-method
Add data from dataframe to rasclass objectsetRasclassData setRasclassData,data.frame-method
Load ESRI asciigrid Data for ClassificationwriteRaster writeRaster,rasclassRaster-method