Contents
How can SoilGrids be used as a covariate?
For continents and regions, SoilGrids predictions can be used as a covariate to improve prediction of soil properties through e.g. regression-kriging. Simply download SoilGrids, run overlay with the point data and then use the SoilGrids layers as a covariate to predict or adjust the values of target variables locally.
How does SoilGrids work for digital soil mapping?
SoilGrids uses state-of-the-art statistical methods for digital soil mapping, relying exclusively on open source tools. The models are tailored per soil property and fitted using documented models. For each property, a global model is calibrated using a spatially stratified 10-fold cross-validation procedure.
Which is the global gridded Soil Information System?
A system for digital soil mapping based on global compilation of soil profile data and environmental layers SoilGrids TM (hereafter SoilGrids) is a system for global digital soil mapping that uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe.
How are spatial predictions ( layers ) produced in SoilGrids?
SoilGrids spatial predictions (layers) are produced using a reproducible soil mapping workflow, and can therefore be regularly updated as new soil data or covariates become available, after quality control and data standardisation/harmonisation.
How to download SoilGrids data globally using R-geographic?
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What kind of soil mapping system is SoilGrids?
SoilGrids250m = set of global maps of soil properties for six depth intervals at 250 m spatial resolution. SoilGrids = system for global digital soil mapping.