madChelsa: Rasters of bioclimatic variables for an eastern portion of...

In adamlilith/fasterRaster: Faster Raster and Spatial Vector Processing Using 'GRASS GIS'

Rasters of bioclimatic variables for an eastern portion of Madagascar

Description

Rasters of bioclimatic variables for an eastern portion of Madagascar from CHELSA version 2.1 in unprojected (WGS84) coordinates. Values represent averages across 1980-2010. Only these BIOCLIM variables are included: * bio1: Mean annual temperature (deg C) * bio7: Temperature annual range (hottest - coldest month temperature; deg C) * bio12: Total annual precipitation (mm) * bio15: Precipitation seasonality (unit-less)

Format

An object of class SpatRaster in unprojected (WGS84) coordinates.

Source

\Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1038/sdata.2017.122")}

References

Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P., and Kessler, M. 2017. Climatologies at high resolution for the earth's land surface areas. Scientific Data 4:170122. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/sdata.2017.122")}

Examples

### vector data
###############

library(sf)

# For vector data, we can use data(*) or fastData(*):
data(madCoast0) # same as next line
madCoast0 <- fastData("madCoast0") # same as previous
madCoast0
plot(st_geometry(madCoast0))

madCoast4 <- fastData("madCoast4")
madCoast4
plot(st_geometry(madCoast4), add = TRUE)

madRivers <- fastData("madRivers")
madRivers
plot(st_geometry(madRivers), col = "blue", add = TRUE)

madDypsis <- fastData("madDypsis")
madDypsis
plot(st_geometry(madDypsis), col = "red", add = TRUE)

### raster data
###############

library(terra)

# For raster data, we can get the file directly or using fastData(*):
rastFile <- system.file("extdata/madElev.tif", package="fasterRaster")
madElev <- terra::rast(rastFile)

madElev <- fastData("madElev") # same as previous two lines
madElev
plot(madElev)

madForest2000 <- fastData("madForest2000")
madForest2000
plot(madForest2000)

madForest2014 <- fastData("madForest2014")
madForest2014
plot(madForest2014)

# multi-layer rasters
madChelsa <- fastData("madChelsa")
madChelsa
plot(madChelsa)

madPpt <- fastData("madPpt")
madTmin <- fastData("madTmin")
madTmax <- fastData("madTmax")
madPpt
madTmin
madTmax


# RGB raster
madLANDSAT <- fastData("madLANDSAT")
madLANDSAT
plotRGB(madLANDSAT, 4, 1, 2, stretch = "lin")

# categorical raster
madCover <- fastData("madCover")
madCover
madCover <- droplevels(madCover)
levels(madCover) # levels in the raster
nlevels(madCover) # number of categories
catNames(madCover) # names of categories table

plot(madCover)

adamlilith/fasterRaster documentation built on Sept. 23, 2024, 1:28 a.m.