iSDA soil data for Africa

Download soil data for Africa derived from the iDSA data set. The original data were aligned and aggregated to 30 arc-seconds (about 1 km2). The original spatial resolution was 30m.

For more info see:

https://envirometrix.nl/isdasoil-open-soil-data-for-africa/

https://zenodo.org/search?page=1&size=20&q=iSDAsoil

Usage

soil_af_isda(var, depth=20, error=FALSE, path, virtual=FALSE, ...)

Arguments

var

character. Name of the soil variable. Should be one of: "Al", "bdr", "clay", "C.tot", "CEC", "Ca", "db.od", "eCEC.f", "Fe", "K", "Mg", "N.tot", "oc", "P", "pH.H2O", "sand", "silt", "S", "texture", "wpg2", "Zn". See the Details section below

depth

numeric. One of 20 (for 0-20 cm) and 50 (for 20-50 cm). Ignored if var="bdr" for which the depth is always 0-200 cm

error

logical. If TRUE the error estimates are returned

path

character. Path for storing the downloaded data. See geodata_path

virtual

logical. If TRUE a virtual connection to the file is returned. This is useful if you want to extract a small area without downloading the entire raster

...

additional arguments passed to download.file

Value

SpatRaster

Details

	var	description	unit
	Al	extractable aluminum	mg kg-1
	bdr	bed rock depth	cm
	clay	clay content	%
	C.tot	total carbon	kg-1
	Ca	extractable calcium	mg kg-1
	db.od	bulk density	kg m-3
	eCEC.f	effective cation exchange capacity	cmol(+) kg-1
	Fe	extractable iron	mg kg-1
	K	extractable potassium	mg kg-1
	Mg	extractable magnesium	mg kg-1
	N.tot	total organic nitrogen	g kg-1
	OC	Organic Carbon	g kg-1
	P	extractable phosphorus	mg kg-1
	pH.H2O	pH (H2O)	-
	sand	Sand content	%
	silt	Silt content	%
	S	Extractable sulfer	mg kg-1
	texture	texture class	-
	wpg2	stone content	%
	Zn	Extractable zinc	mg kg-1

References

Tomislav Hengl, Matthew A. E. Miller, Josip Križan, Keith D. Shepherd, Andrew Sila, Milan Kilibarda, Ognjen Antonijevic, Luka Glušica, Achim Dobermann, Stephan M. Haefele, Steve P. McGrath, Gifty E. Acquah, Jamie Collinson, Leandro Parente, Mohammadreza Sheykhmousa, Kazuki Saito, Jean-Martial Johnson, Jordan Chamberlin, Francis B.T. Silatsa, Martin Yemefack, John Wendt, Robert A. MacMillan, Ichsani Wheeler & Jonathan Crouch, 2021. African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. Scientific Reports 11: 6130.

See also

soil_af_elements, soil_af, soil_world

Examples

# \donttest{
# downloads a large file
afph <- soil_af_isda("ph.h2o", path=tempdir(), quiet=TRUE)
# }