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.
Usage
data(isis)
Format
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)
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(GSIF)
GSIF version 0.5-2 (2016-06-25)
URL: http://gsif.r-forge.r-project.org/
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GSIF/isis.Rd_%03d_medium.png", width=480, height=480)
> ### Name: isis
> ### Title: ISRIC Soil Information System
> ### Aliases: isis
> ### Keywords: datasets
>
> ### ** Examples
>
> library(rgdal)
Loading required package: sp
rgdal: version: 1.1-10, (SVN revision 622)
Geospatial Data Abstraction Library extensions to R successfully loaded
Loaded GDAL runtime: GDAL 1.11.3, released 2015/09/16
Path to GDAL shared files: /usr/share/gdal/1.11
Loaded PROJ.4 runtime: Rel. 4.9.2, 08 September 2015, [PJ_VERSION: 492]
Path to PROJ.4 shared files: (autodetected)
Linking to sp version: 1.2-3
> library(sp)
>
> data(isis)
> sites <- isis$sites
> coordinates(sites) <- ~ LONWGS84 + LATWGS84
> proj4string(sites) <- "+proj=longlat +datum=WGS84"
> ## Not run:
> ##D ## obtain country borders:
> ##D library(maps)
> ##D country.m = map('world', plot=FALSE, fill=TRUE)
> ##D IDs <- sapply(strsplit(country.m$names, ":"), function(x) x[1])
> ##D require(maptools)
> ##D country <- as(map2SpatialPolygons(country.m, IDs=IDs), "SpatialLines")
> ##D proj4string(country) = "+proj=longlat +datum=WGS84"
> ##D ## overlay and plot points and maps:
> ##D plot(country, col="darkgrey")
> ##D points(sites, pch=21, bg="red", cex=.6, col="black")
> ## End(Not run)
>
>
>
>
>
> dev.off()
null device
1
>