multiscale_roughness

Output raster roughness magnitude file.

out_mag

Output raster roughness scale file.

out_scale

Maximum search neighbourhood radius in grid cells.

max_scale

Minimum search neighbourhood radius in grid cells.

min_scale

Step size as any positive non-zero integer.

step

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

verbose_mode

Calculates surface roughness over a range of spatial scales.

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>.

multiscale_roughness: Multiscale roughness

Description

Usage

Arguments

Value