# Global Soil Information Facilities

## Documentation for package ‘GSIF’ version 0.5-3

- DESCRIPTION file.
- Code demos. Use demo() to run them.

## Help Pages

A B C D E F G I L M O P R S T U V W

## -- A --

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

## -- B --

buffer.dist | Derive buffer distances to a set of points
buffer.dist-method | Derive buffer distances to a set of points

## -- C --

cookfarm | The Cook Agronomy Farm data set

## -- D --

describe | A class for a Web Processing Service
describe-method | A class for a Web Processing Service

## -- E --

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

## -- F --

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

## -- G --

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

## -- I --

isis | ISRIC Soil Information System

## -- L --

landmask | Global coarse resolution land / soil mask maps
landmask20km | Global coarse resolution land / soil mask maps
LRI | Limiting Rootability

## -- M --

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)
MaxEnt | Prediction and cross-validation using the Maximum Entropy
MaxEnt-method | Prediction and cross-validation using the Maximum Entropy
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

## -- O --

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

## -- P --

plot-method | A class for a geostatistical model
plot.gstatModel | A class for a geostatistical model
predict-method | Prediction and cross-validation using the Maximum Entropy
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

## -- R --

resample.grid | Kriging combined with splines
REST.SoilGrids | A class for SoilGrids REST API
REST.SoilGrids-class | A class for SoilGrids REST API

## -- S --

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"'

## -- T --

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

## -- U --

USDA.TT.im | Probability density for texture triangle

## -- V --

validate | A class for a geostatistical model
validate-method | A class for a geostatistical model

## -- W --

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