clamp_raster_sigmas: Filter outliers from a list of raster data using data from...

In hrvg/statisticalRoughness: Estimation of roughness exponents across scale for large areas

Description

This function uses a list as input so that the object can have vastly different resolutions.

Usage

clamp_raster_sigmas(
  raster_list,
  n_sigma = 3,
  band_id = 1,
  lower = TRUE,
  upper = TRUE,
  lower_clamp = -Inf,
  upper_clamp = Inf,
  use_values = FALSE
)

Arguments

raster_list	a list of stars objects
n_sigma	numeric, number of standard deviations to consider to calculate the percentile corresponding to values to filter, default to 3
band_id	numeric, identifier of the band of the stars object
lower	logical, if TRUE a lower clamp value is computed using the specified number of standard deviations
upper	logical, if TRUE an upper clamp value is computed using the specified number of standard deviations
lower_clamp	numeric, a value for the lower clamp, default to -Inf
upper_clamp	numeric, a value for the upper clamp, default to Inf
use_values	logical. If FALSE values outside the clamping range become NA, if TRUE, they get the extreme values, default to TRUE

Value

a named list of with the clamped stars objects and the clamped values of all the rasters (from ploting purposes)

hrvg/statisticalRoughness documentation built on March 12, 2021, 4:55 p.m.