madCoverCats: Table of land cover classes for an eastern portion of...

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

Table of land cover classes for an eastern portion of Madagascar

Description

This data frame corresponds to the madCover raster, which represents land cover for an eastern portion of Madagascar. Note that the land cover classes have been simplified, so this table and raster should not be used for "real" analyses.

Format

An object of class data.frame.

Source

http://due.esrin.esa.int

References

Arino O., P. Bicheron, F. Achard, J. Latham, R. Witt and J.-L. Weber. 2008. GlobCover: The most detailed portrait of Earth. European Space Agency Bulletin 136:25-31. http://due.esrin.esa.int.

See Also

madCover, vignette("GRasters", package = "fasterRaster")

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 Oct. 26, 2024, 4:06 p.m.