fastData: Get one of the example rasters or spatial vectors

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

Get one of the example rasters or spatial vectors

Description

This function is a simple way to get example rasters or spatial vector datasets that come with fasterRaster.

Usage

fastData(x)

Arguments

x

The name of the raster or spatial vector to get. All of these represent a portion of the eastern coast of Madagascar. Spatial vectors (objects of class sf from the sf package): madCoast0: Outline of the region (polygon) madCoast4: Outlines of the Fokontanies (Communes) of the region (polygons) madDypsis: Records of plants of the genus Dypsis (points) madRivers: Major rivers (lines) Rasters (objects of class SpatRaster from the terra package, saved as GeoTIFF files): madChelsa: Bioclimatic variables madCover: Land cover (also see madCoverCats) madForest2000: Forest cover in year 2000 madForest2014: Forest cover in year 2014 madLANDSAT: Surface reflectance in 2023 madPpt, madTmin, madTmax: Rasters of mean monthly precipitation, and minimum and maximum temperature. Data frames appFunsTable: Table of functions usable by app(). madCoverCats: Land cover values and categories. vegIndices: Vegetation indices that can be calculated with vegIndex().

Value

A SpatRaster, sf spatial vector, or a data.frame.

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.