Description Usage Format Author(s) Examples
ISRIC's collection of global soil monoliths that represent the main soil reference groups of the World Reference Base for Soil Resources (WRB). Includes some 950 monoliths (785 with coordinates) from over 70 countries with detailed soil profile and environmental data.
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The isis
data set contains two data frames — sites and horizons. Sites table contains the following columns:
SOURCEID
factor; unique ISIS code
LONWGS84
numeric; longitude in decimal degrees on the WGS84 datum
LATWGS84
numeric; latitude in decimal degrees on the WGS84 datum
TIMESTRR
Date; the date on which this particular soil was described or sampled
TAXGWRB
factor; soil group based on the WRB classification system
TAXNUSDA
factor; Keys to Soil Taxonomy taxon name e.g. "Natraqualf"
BDRICM
numeric; depth to bedrock (R horizon) if observed
SOURCEDB
factor; source data base
Horizons table contains the following columns:
SOURCEID
factor; unique ISIS code
UHDICM
numeric; upper horizon depth from the surface in cm
LHDICM
numeric; lower horizon depth from the surface in cm
CRFVOL
numeric; volume percentage of coarse fragments (> 2 mm)
PHIHOX
numeric; pH index measured in water solution
PHIKCL
numeric; pH index measured in KCl solution
ORCDRC
numeric; soil organic carbon content in permilles
SNDPPT
numeric; weight percentage of the sand particles (0.05–2 mm)
SLTPPT
numeric; weight percentage of the silt particles (0.0002–0.05 mm)
CLYPPT
numeric; weight percentage of the clay particles (<0.0002 mm)
CEC
numeric; Cation Exchange Capacity in cmol+/kg
BLD
bulk density in tonnes per cubic-meter
ISRIC — World Soil Information
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | library(rgdal)
library(sp)
data(isis)
sites <- isis$sites
coordinates(sites) <- ~ LONWGS84 + LATWGS84
proj4string(sites) <- "+proj=longlat +datum=WGS84"
## Not run:
## obtain country borders:
library(maps)
country.m = map('world', plot=FALSE, fill=TRUE)
IDs <- sapply(strsplit(country.m$names, ":"), function(x) x[1])
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")
points(sites, pch=21, bg="red", cex=.6, col="black")
## End(Not run)
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