A merge of the Africa Soil Profiles Database (AFSP) with 17,000+ geo-referenced legacy soil profile records, and AfSIS Sentinel Site database with 9000+ sampling locations.
afsp data set contains two data frames —
horizons. Sites table contains the following columns:
factor; unique label to help a user identify a particular site (
ProfileID in the AFSP)
factor; source data base
numeric; longitude in decimal degrees on the WGS84 datum (
X_LonDD in the AFSP)
numeric; latitude in decimal degrees on the WGS84 datum (
Y_LatDD in the AFSP)
character; the date on which this particular soil was described or sampled (
T_Year in the AFSP)
factor; abbreviated soil group based on the WRB classification system (
WRB06rg in the AFSP)
factor; Keys to Soil Taxonomy taxon name e.g.
"Plinthic Udoxic Dystropept" (
USDA in the AFSP)
numeric; depth to bedrock in cm
factor; drainage class based on the FAO guidelines for soil description:
E (excessively drained),
S (somewhat excessively drained),
W (well drained),
M (moderately well drained),
I (somewhat poorly drained) and
V (very poorly drained)
Horizons table contains the following columns:
factor; a short label to help a user identify a particular site
numeric; upper horizon depth from the surface in cm
numeric; lower horizon depth from the surface in cm
factor; Munsell color moist
numeric; soil organic carbon content in permilles
numeric; pH index measured in water solution
numeric; weight percentage of the sand particles (0.05–2 mm)
numeric; weight percentage of the silt particles (0.0002–0.05 mm)
numeric; weight percentage of the clay particles (<0.0002 mm)
numeric; volume percentage of coarse fragments (> 2 mm)
numeric;bulk density in tonnes per cubic-meter
numeric; Cation exchange capacity (fine earth fraction) in cmolc/kg
numeric; total N content in permille or g/kg
numeric; exchangable Mg in cmolc/kg
The Africa Soil Profiles Database have been prepared by Johan Leenaars <[email protected]>. This is a subset of the original database that can be downloaded via http://africasoils.net. The AfSIS Sentinel Site database is one of the main deliverables of the Africa Soil Information Service project.
Hengl, T., Heuvelink, G.B., Kempen, B., Leenaars, J.G., Walsh, M.G., Shepherd, K.D., Sila, A., MacMillan, R.A., de Jesus, J.M., Tamene, L. and Tondoh, J.E., (2015) Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions. PloS one, 10(6), p.e0125814.
Leenaars, J.G.B. (2014) Africa Soil Profiles Database, Version 1.2. A compilation of geo-referenced and standardized legacy soil profile data for Sub Saharan Africa (with dataset). ISRIC report 2012/03. Africa Soil Information Service (AfSIS) project and ISRIC — World Soil Information, Wageningen, the Netherlands.
Africa Soil Information Service (http://africasoils.net)
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## Not run: library(rgdal) library(aqp) library(sp) data(afsp) sites <- afsp$sites coordinates(sites) <- ~ LONWGS84 + LATWGS84 proj4string(sites) <- "+proj=longlat +datum=WGS84" ## obtain country borders: library(maps) country.m = map('world', plot=FALSE, fill=TRUE) IDs <- sapply(strsplit(country.m$names, ":"), function(x) x) require(maptools) country <- as(map2SpatialPolygons(country.m, IDs=IDs), "SpatialLines") proj4string(country) = "+proj=longlat +datum=WGS84" ## overlay and plot points and maps: plot(country, col="darkgrey", xlim=c(-25.3,57.8), ylim=c(-34.8, 37.4)) points(sites, pch=21, bg="white", cex=.6, col="black") ## End(Not run)
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