stochastic_depression_analysis

output

The DEM's root-mean-square-error (RMSE), in z units. This determines error magnitude.

rmse

The error field's correlation length, in xy-units.

range

iterations

Sets verbose mode. If verbose mode is False, tools will not print output messages.

verbose_mode

Preforms a stochastic analysis of depressions within a DEM.

An R frontend of the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.

stochastic_depression_analysis: Stochastic depression analysis

Description

Usage

Arguments

Value