block_maximum_gridding

input

Input field name in attribute table.

field

output

Use z-coordinate instead of field?.

use_z

Optionally specified cell size of output raster. Not used when base raster is specified.

cell_size

Optionally specified input base raster file. Not used when a cell size is specified.

base

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

verbose_mode

Creates a raster grid based on a set of vector points and assigns grid values using a block maximum scheme.

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>.

block_maximum_gridding: Block maximum gridding

Description

Usage

Arguments

Value