buffer.dist-methods | 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... |
edgeroi | The Edgeroi Data Set |
fit.vgmModel | Fit variogram using point data |
getSpatialTiles-ANY-method | Estimate a tiling system |
getSpatialTiles-methods | 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... |
makeTiles | Make a tiling system from a bounding box |
model.data | Overlay points and grids and prepare regression matrix |
predict.spLearner | Predict using spLearner at new locations |
print.spLearner | Print object of type 'spLearner' |
sample.grid | 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 |
SpatialComponents | A class for gridded components derived using the 'spc' method |
SpatialMemberships | A class for membership maps derived using the 'fkmeans'... |
spc | Generate Principal Components using SpatialPixelsDataFrame... |
spfkm | Fit a supervised fuzzy kmeans model and predict memberships |
spmultinom | Fits a multinomial logistic regression to spatial data |
spsample.prob | Estimate occurrence probabilities of a sampling plan (points) |
tile-methods | Tile spatial layers |
train.spLearner.matrix | Train a spatial prediction and/or interpolation model using... |
train.spLearner-methods | Train a spatial prediction and/or interpolation model using... |
TT2tri | Soil texture class to texture fractions conversion |
tune.spLearner-methods | Optimize spLearner by fine-tuning parameters and running... |
USDA.TT.im | Probability density for texture triangle |
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