wbt_local_quadratic_regression: Local quadratic regression

In giswqs/whiteboxR: 'WhiteboxTools' R Frontend

Local quadratic regression

Description

An implementation of the constrained quadratic regression algorithm using a flexible window size described in Wood (1996).

Usage

wbt_local_quadratic_regression(
  dem,
  output,
  filter = 3,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)

Arguments

dem	Name of the input DEM raster file.
output	Name of the output raster file.
filter	Edge length of the filter kernel.
wd	Changes the working directory. Default: NULL will use the value in WhiteboxTools settings, see wbt_wd() for details.
verbose_mode	Sets verbose mode. If verbose mode is FALSE, tools will not print output messages. Default: NULL will use the value in WhiteboxTools settings, see wbt_verbose() for details.
compress_rasters	Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: NULL will use the value in WhiteboxTools settings, see wbt_compress_rasters() for details.
command_only	Return command that would be executed by system() rather than running tool. Default: FALSE.

Value

Returns the tool text outputs.

giswqs/whiteboxR documentation built on Oct. 14, 2024, 2:38 a.m.