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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:680b3bbf74. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 11 2024 |
| R-4.5-linux | NOTE | Dec 11 2024 |
Exports:buildFormulacheckRasclassclassifyRasclassimagerasclassMlcreadRasterreadRasterFoldersetRasclassDatasummaryViewwriteRaster
Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecowplotcpp11DerivdoBydplyre1071fansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigproxypurrrquantregR6randomForestRColorBrewerRcppRcppEigenrlangRSNNSscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Supervised Raster Image Classification | rasclass-package rasclass |
| Build a formula for Raster Classification | buildFormula buildFormula,rasclass-method |
| Check rasclass object for internal consistency | checkRasclass checkRasclass,rasclass-method |
| Classsifier function for rasclass objects | classifyRasclass classifyRasclass,rasclass-method |
| Class "rasclass" | image,rasclass-method rasclass-class summary,rasclass-method View,rasclass-method |
| Maximum likelihood classifier | rasclassMlc rasclassMlc,rasclass-method |
| Class "rasclassRaster" | image,rasclassRaster-method rasclassRaster rasclassRaster-class |
| Read ESRI asciigrid files | readRaster readRaster,character-method |
| Load ESRI asciigrid Data for Classification | readRasterFolder readRasterFolder,character-method |
| Add data from dataframe to rasclass object | setRasclassData setRasclassData,data.frame-method |
| Load ESRI asciigrid Data for Classification | writeRaster writeRaster,rasclassRaster-method |