lidar_thin

input

output

The size of the square area used to evaluate nearby points in the LiDAR data.

resolution

Point selection method; options are 'first', 'last', 'lowest' (default), 'highest', 'nearest'.

method

Save filtered points to seperate file?.

save_filtered

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

verbose_mode

Thins a LiDAR point cloud, reducing point density.

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>.

lidar_thin: Lidar thin

Description

Usage

Arguments

Value