runoutPareaPredict: Runout process areas from source area prediction

In jngtz/runout.opt: GPP regional runout model optimization and validation in R

Description

Thresholds a prediction raster of source areas (probabilities) and computes corresponding runout process areas.

Usage

runoutPareaPredict(
  source_pred,
  dem,
  source_threshold,
  rw_slp,
  rw_exp,
  rw_per,
  pcm_mu,
  pcm_md,
  gpp_iter = 1000,
  saga_lib,
  file_name = NULL
)

Arguments

source_pred	RasterLayer with probability of being runout source area
dem	A DEM as a RasterLayer object
source_threshold	A cutoff of value of source area prediction
rw_slp	Random walk slope threshold - below lateral spreading is modeled
rw_exp	Random walk exponent controlling lateral spread
rw_per	Random walk persistence factor to weight flow direction consistency
pcm_mu	PCM model sliding friction coefficient
pcm_md	PCM model mass-to-drag ratio (m)
gpp_iter	Model iterations
saga_lib	The initiated SAGA-GIS geoprocessor object
file_name	(optional) Can give a file name to save process area raster as GeoTiff

Value

A RasterLayer with runout process areas

jngtz/runout.opt documentation built on Sept. 8, 2021, 2:15 p.m.