afsp | Africa Soil Profiles Database |
as.data.frame | Converts an object of class '"SoilProfileCollection"' to a... |
as.geosamples | Converts an object to geosamples class |
autopredict | Autopredict numeric or factor type variables |
AWCPTF | Available soil water capacity |
buffer.dist | Derive buffer distances to a set of points |
cookfarm | The Cook Agronomy Farm data set |
edgeroi | The Edgeroi Data Set |
ERDICM | Effective Rooting Zone depth |
extract | Extracts values at points from a list of files |
FAO.SoilProfileCollection | A class for FAO SoilProfileCollection |
fit.gstatModel | Methods to fit a regression-kriging model |
fit.regModel | Fits a regression model to spatial data |
fit.vgmModel | Fits a 2D or 3D variogram model to spatial data |
geochm | NGS database samples for Indiana State |
geosamples | A class for spatially and temporally referenced samples |
getID | Derive 1 degree cell IDs |
getSpatialTiles | Get a list of tiles (regular blocks) |
GlobalSoilMap | A class for GlobalSoilMap soil property maps |
GSIF.env | GSIF specific environmental variables / paths |
gstatModel | A class for a geostatistical model |
isis | ISRIC Soil Information System |
landmask | Global coarse resolution land / soil mask maps |
LRI | Limiting Rootability |
make.3Dgrid | Methods to prepare 3D prediction locations |
makeGstatCmd | Make a gstat command script |
merge | Merge multiple predictions |
mpspline | Fits a mass preserving spline |
OCSKGM | Soil organic carbon stock |
predict.gstatModel | Predict from an object of class '"gstatModel"' |
REST.SoilGrids | A class for SoilGrids REST API |
sample.grid | sample spatial points by grids |
soil.classes | Soil classification tables |
SoilGrids | A class for SoilGrids - soil property and/or class maps |
SoilGrid.validator | Validate SoilGrid (spatial predictions) |
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 | Derive Spatial Predictive Components |
spfkm | Supervised fuzzy _k_-means on spatial pixels |
spline.krige | Kriging combined with splines |
spmultinom | Multinomial logistic regression on spatial objects |
spsample.prob | Estimate occurrence probabilities of a sampling plan (points) |
summary | Summarize an object of class '"SpatialPredictions"' |
test.gstatModel | Methods to test predictability of a regression-kriging model |
tile | Tiles (subsets or clips) a spatial object to regular blocks |
USDA.TT.im | Probability density for texture triangle |
warp | (GDAL) warp function from FWTools |
WPS | A class for a Web Processing Service |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.