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A B C D E F G I L M O P R S T U V W
| afsp | Africa Soil Profiles Database |
| as.data.frame | Converts an object of class '"SoilProfileCollection"' to a data frame |
| as.data.frame-method | Converts an object of class '"SoilProfileCollection"' to a data frame |
| as.geosamples | Converts an object to geosamples class |
| as.geosamples-method | Converts an object to geosamples class |
| autopredict | Autopredict numeric or factor type variables |
| autopredict-method | Autopredict numeric or factor type variables |
| AWCPTF | Available soil water capacity |
| buffer.dist | Derive buffer distances to a set of points |
| buffer.dist-method | Derive buffer distances to a set of points |
| cookfarm | The Cook Agronomy Farm data set |
| describe | A class for a Web Processing Service |
| describe-method | A class for a Web Processing Service |
| edgeroi | The Edgeroi Data Set |
| edgeroi.grids | The Edgeroi Data Set |
| edgeroi.grids100 | The Edgeroi Data Set |
| ERDICM | Effective Rooting Zone depth |
| extract | Extracts values at points from a list of files |
| extract-method | Extracts values at points from a list of files |
| extract.list | Extracts values at points from a list of files |
| FAO.SoilProfileCollection | A class for FAO SoilProfileCollection |
| FAO.SoilProfileCollection-class | A class for FAO SoilProfileCollection |
| fit.gstatModel | Methods to fit a regression-kriging model |
| fit.gstatModel-method | Methods to fit a regression-kriging model |
| fit.regModel | Fits a regression model to spatial data |
| fit.regModel-method | Fits a regression model to spatial data |
| fit.vgmModel | Fits a 2D or 3D variogram model to spatial data |
| fit.vgmModel-method | Fits a 2D or 3D variogram model to spatial data |
| geochm | NGS database samples for Indiana State |
| geosamples-class | A class for spatially and temporally referenced samples |
| getHorizons | Converts an object of class '"SoilProfileCollection"' to a data frame |
| getID | Derive 1 degree cell IDs |
| getID-method | Derive 1 degree cell IDs |
| getProcess | A class for a Web Processing Service |
| getProcess-method | A class for a Web Processing Service |
| getSpatialTiles | Get a list of tiles (regular blocks) |
| getSpatialTiles-method | Get a list of tiles (regular blocks) |
| GlobalSoilMap | A class for GlobalSoilMap soil property maps |
| GlobalSoilMap-class | A class for GlobalSoilMap soil property maps |
| GSIF.env | GSIF specific environmental variables / paths |
| GSIF.opts | GSIF specific environmental variables / paths |
| gstatModel-class | A class for a geostatistical model |
| isis | ISRIC Soil Information System |
| landmask | Global coarse resolution land / soil mask maps |
| landmask20km | Global coarse resolution land / soil mask maps |
| LRI | Limiting Rootability |
| make.3Dgrid | Methods to prepare 3D prediction locations |
| make.3Dgrid-method | Methods to prepare 3D prediction locations |
| makeGstatCmd | Make a gstat command script |
| makePixels | Autopredict numeric or factor type variables |
| makeSAGAlegend | Standard color palettes for soil properties and classes |
| makeTiles | Get a list of tiles (regular blocks) |
| merge | Merge multiple predictions |
| merge-method | Merge multiple predictions |
| mpspline | Fits a mass preserving spline |
| mpspline-method | Fits a mass preserving spline |
| munsell | A class for FAO SoilProfileCollection |
| OCSKGM | Soil organic carbon stock |
| over-method | A class for SoilGrids REST API |
| over-method | A class for a Web Processing Service |
| over-method | A class for spatially and temporally referenced samples |
| plot-method | A class for a geostatistical model |
| plot.gstatModel | A class for a geostatistical model |
| predict-method | Predict from an object of class '"gstatModel"' |
| predict.gstatModel | Predict from an object of class '"gstatModel"' |
| predict.gstatModelList | Predict from an object of class '"gstatModel"' |
| print.gstatModel | A class for a geostatistical model |
| resample.grid | Kriging combined with splines |
| REST.SoilGrids | A class for SoilGrids REST API |
| REST.SoilGrids-class | A class for SoilGrids REST API |
| sample.grid | sample spatial points by grids |
| sample.grid-method | sample spatial points by grids |
| sample.grid.SpatialPoints | sample spatial points by grids |
| sample.grid.SpatialPointsDataFrame | sample spatial points by grids |
| show-method | A class for a Web Processing Service |
| show-method | A class for spatially and temporally referenced samples |
| show-method | Summarize an object of class '"SpatialPredictions"' |
| soil.classes | Soil classification tables |
| soil.dom | Standard color palettes for soil properties and classes |
| soil.legends | Standard color palettes for soil properties and classes |
| soil.vars | Standard color palettes for soil properties and classes |
| SoilGrid.validator | Validate SoilGrid (spatial predictions) |
| SoilGrids | A class for SoilGrids - soil property and/or class maps |
| SoilGrids-class | A class for SoilGrids - soil property and/or class maps |
| sp3D | Methods to prepare 3D prediction locations |
| sp3D-method | Methods to prepare 3D prediction locations |
| 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 | Derive Spatial Predictive Components |
| spc-method | Derive Spatial Predictive Components |
| spfkm | Supervised fuzzy _k_-means on spatial pixels |
| spfkm-method | Supervised fuzzy _k_-means on spatial pixels |
| spline.krige | Kriging combined with splines |
| spmultinom | Multinomial logistic regression on spatial objects |
| spmultinom-method | Multinomial logistic regression on spatial objects |
| spsample.prob | Estimate occurrence probabilities of a sampling plan (points) |
| spsample.prob-method | Estimate occurrence probabilities of a sampling plan (points) |
| stack-method | A class for spatially and temporally referenced samples |
| subset-method | A class for a Web Processing Service |
| subset-method | A class for spatially and temporally referenced samples |
| summary | Summarize an object of class '"SpatialPredictions"' |
| summary-method | Summarize an object of class '"SpatialPredictions"' |
| test.gstatModel | Methods to test predictability of a regression-kriging model |
| test.gstatModel-method | Methods to test predictability of a regression-kriging model |
| tile | Tiles (subsets or clips) a spatial object to regular blocks |
| tile-method | Tiles (subsets or clips) a spatial object to regular blocks |
| TT2tri | Probability density for texture triangle |
| USDA.TT.im | Probability density for texture triangle |
| validate | A class for a geostatistical model |
| validate-method | A class for a geostatistical model |
| warp | (GDAL) warp function from FWTools |
| warp-method | (GDAL) warp function from FWTools |
| WPS-class | A class for a Web Processing Service |
| write.data | A class for spatially and temporally referenced samples |
| write.data-method | A class for spatially and temporally referenced samples |
| write.data.geosamples | A class for spatially and temporally referenced samples |
| write.data.SpatialPoints | A class for spatially and temporally referenced samples |