if(check_running()){
# Retrieve paths to data sets
dem <- system.file("extdata", "dem.tif", package = "rdwplus")
lus <- system.file("extdata", "landuse.tif", package = "rdwplus")
sts <- system.file("extdata", "site.shp", package = "rdwplus")
stm <- system.file("extdata", "streams.shp", package = "rdwplus")
# Set environment
set_envir(dem)
# Get other data sets (stream layer, sites, land use, etc.)
raster_to_mapset(lus)
vector_to_mapset(c(stm, sts))
# Reclassify streams
out_stream <- paste0(tempdir(), "/streams.tif")
rasterise_stream("streams", out_stream, TRUE)
reclassify_streams("streams.tif", "streams01.tif", overwrite = TRUE)
# Burn in the streams to the DEM
burn_in("dem.tif", "streams01.tif", "burndem.tif", overwrite = TRUE)
# Fill dem
fill_sinks("burndem.tif", "filldem.tif", "fd1.tif", "sinks.tif", overwrite = TRUE)
# Derive flow direction and accumulation grids
derive_flow("dem.tif", "fd.tif", "fa.tif", overwrite = T)
# Derive a new stream raster from the FA grid
derive_streams("dem.tif", "fa.tif", "new_stm.tif", "new_stm", min_acc = 200, overwrite = T)
# Recode streams
reclassify_streams("new_stm.tif", "null_stm.tif", "none")
# Snap sites to streams and flow accumulation
snap_sites("site", "new_stm.tif", "fa.tif", 2, "snapsite", T)
# Get watersheds
get_watersheds("snapsite", "fd.tif", "wshed.tif", T)
# Get pour points
coord_to_raster("snapsite", which = 1, out = "pour_point")
# Get iFLO weights
compute_iFLO_weights(
"pour_point",
"wshed.tif",
"null_stm.tif",
"fd.tif",
"fl_outlet.tif",
"iFLO_weights.tif",
idwp = -1,
remove_streams = FALSE
)
plot_GRASS("iFLO_weights.tif", col = topo.colors(12))
}
Run the code above in your browser using DataLab