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:
soil_af_isda(var, depth=20, error=FALSE, path, virtual=FALSE, ...)SpatRaster
character. The variables name, one of: "Al", "bdr", "clay", "C.tot", "Ca", "db.od", "eCEC.f", "Fe", "K", "Mg", "N.tot", "oc", "P", "pH.H2O", "sand", "silt", "S", "texture", "wpg2", "Zn".see Details
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
logical. If TRUE the error estimates are returned
character. Path for storing the downloaded data. See geodata_path
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
| 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 | Phosphorus content | 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 |
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.
soil_af_elements, soil_af, soil_world
# \donttest{
# downloads a large file
afph <- soil_af_isda("ph.h2o", path=tempdir(), quiet=TRUE)
# }
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