Global Soil Information Facilities


Documentation for package ‘GSIF’ version 0.5-3

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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