crossscale_correlations: Creates a facet plot of correlation between 'selected'...

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

Description

Creates a facet plot of correlation between selected attributes from a raster_list representing different spatial_scales

Usage

crossscale_correlations(
  raster_list = NULL,
  att_names = NULL,
  selected = NULL,
  spatial_scales = NULL,
  corr_type = "spearman",
  clamp_raster = FALSE
)

Arguments

raster_list	a list of stars or RasterStack objects
att_names	character, the attributes corresponding to each band
selected	character, the selected attributes
spatial_scales	numeric, the spatial scales corresponding to each raster in raster_list
corr_type	character, the type of correlation to compute, 'pearson' or 'spearman'
clamp_raster	logical, if TRUE clamps the rasters using clamp_params

Value

if clamp is FALSE a ggplot object, otherwise a named list with two elements, a ggplot object and a list of clamped rasters.

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