# Will only run if GRASS is running
if(check_running()){
# Load data set
dem <- system.file("extdata", "dem.tif", package = "rdwplus")
landuse <- system.file("extdata", "landuse.tif", package = "rdwplus")
sites <- system.file("extdata", "site.shp", package = "rdwplus")
stream_shp <- system.file("extdata", "streams.shp", package = "rdwplus")
# Set environment parameters and import data to GRASS
set_envir(dem)
raster_to_mapset(rasters = c(dem, landuse), as_integer = c(FALSE, TRUE))
vector_to_mapset(vectors = c(sites, stream_shp))
# Create binary stream
rasterise_stream("streams", "streams_rast.tif", overwrite = TRUE)
reclassify_streams("streams_rast.tif", "streams_binary.tif",
out_type = "binary", overwrite = TRUE)
# Burn dem
burn_in(dem = "dem.tif", stream = "streams_binary.tif",
out = "dem_burn.tif", burn = 10, overwrite = TRUE)
# Fill sinks
fill_sinks(dem = "dem_burn.tif", out = "dem_fill.tif",
size = 1, overwrite = TRUE)
# Derive flow accumulation and direction grids
derive_flow(dem = "dem_fill.tif", flow_dir = "fdir.tif",
flow_acc = "facc.tif", overwrite = TRUE)
# Snap sites to pour points (based on flow accumulation)
snap_sites(sites = "site", flow_acc = "facc.tif", max_move = 2,
out = "snapsite.shp", overwrite = TRUE)
point_to_raster(outlets = "site", out = "sites_rast.tif", overwrite = TRUE)
# Compute current site's watershed
rowID <- 1
current_watershed <- paste0("watershed_", rowID, ".tif")
get_watershed(sites = "snapsite.shp",
i = rowID,
flow_dir = "fdir.tif",
out = current_watershed,
write_file = FALSE,
overwrite = TRUE)
# Plot
plot_GRASS(current_watershed, col = topo.colors(2))
plot_GRASS("streams_rast.tif", col = "white", add = TRUE)
plot_GRASS("sites_rast.tif", col = "red", add = TRUE)
}
Run the code above in your browser using DataLab