multiscale_roughness_signature

points

output

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 the surface roughness for points 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_signature: Multiscale roughness signature

Description

Usage

Arguments

Value