buffer.dist | Derive buffer distances for a list of points |
buffer.dist-method | Derive buffer distances for a list of points |
cookfarm | The Cook Agronomy Farm data set |
download.landgis | Access and download layers from OpenLandMap.org (LandGIS data service) |
edgeroi | The Edgeroi Data Set |
edgeroi.grids | The Edgeroi Data Set |
edgeroi.grids100 | The Edgeroi Data Set |
fit.vgmModel | Fit variogram using point data |
fit.vgmModel-method | Fit variogram using point data |
getSpatialTiles | Split a Spatial object into tiles |
getSpatialTiles-method | Estimate a tiling system |
getSpatialTiles-method | Split a Spatial object into tiles |
isis | ISRIC Soil Information System |
landgis.tables | OpenLandMap list of GeoTIFFs global mosaics |
landmap | landmap: Automated Spatial Prediction using Ensemble Machine Learning |
makeTiles | Make a tiling system from a bounding box |
model.data | Overlay points and grids and prepare regression matrix |
munsell | Standard color palettes for soil properties and classes |
predict.spLearner | Predict using spLearner at new locations |
print.spLearner | Print object of type 'spLearner' |
sample.grid | Sample spatial points by grids |
sample.grid-method | Sample spatial points by grids |
search.landgis | Search for available landgis layers |
sic1997 | The SIC 1997 Data Set |
soil.classes | Soil classification tables |
soil.legends | Standard color palettes for soil properties and classes |
soil.vars | Standard color palettes for soil properties and classes |
SpatialComponents-class | A class for gridded components derived using the 'spc' method |
SpatialMemberships-class | A class for membership maps derived using the 'fkmeans' classification |
spc | Generate Principal Components using SpatialPixelsDataFrame object |
spc-method | Generate Principal Components using SpatialPixelsDataFrame object |
spfkm | Fit a supervised fuzzy kmeans model and predict memberships |
spfkm-method | Fit a supervised fuzzy kmeans model and predict memberships |
spmultinom | Fits a multinomial logistic regression to spatial data |
spmultinom-method | Fits a multinomial logistic regression to spatial data |
spsample.prob | Estimate occurrence probabilities of a sampling plan (points) |
spsample.prob-method | Estimate occurrence probabilities of a sampling plan (points) |
tile | Tile spatial layers |
tile-method | Tile spatial layers |
train.spLearner | Train a spatial prediction and/or interpolation model using Ensemble Machine Learning |
train.spLearner-method | Train a spatial prediction and/or interpolation model using Ensemble Machine Learning |
train.spLearner.matrix | Train a spatial prediction and/or interpolation model using Ensemble Machine Learning from a regression/classification matrix |
TT2tri | Soil texture class to texture fractions conversion |
tune.spLearner | Optimize spLearner by fine-tuning parameters and running feature selection |
tune.spLearner-method | Optimize spLearner by fine-tuning parameters and running feature selection |
USDA.TT.im | Probability density for texture triangle |