madTmin: Rasters of average monthly minimum temperature for an eastern...

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

Rasters of average monthly minimum temperature for an eastern portion of Madagascar

Description

Rasters of minimum temperature for an eastern portion of Madagascar from WorldClim 2.1 at ~3.33 arcminute resolution projected to the Tananarive (Paris)/Laborde Grid coordinate reference system. Values represent monthly averages across 1970-2000. Units are in degrees C. These should not be used for formal analysis.

Format

An object of class SpatRaster.

Source

\Sexpr[results=rd]{tools:::Rd_expr_doi("https://dx.doi.org/10.1002/joc.5086")}

References

Fick, S.E. and Hijmans, R.J. 2017. WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37:4302-4315. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/joc.5086")}

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 Dec. 21, 2024, 2:04 a.m.