Compares quantity and allocation disagreement of two raster data sets

Source: R/quantity_allocation_disagreement.R

Uses quantity and allocation disagreement metrics by Pontius and Millones (2014) and omission and commission errors of comparing a modeled raster data set to a reference raster data set.

quantity_allocation_disagreement(
  reference,
  comparison,
  use_configuration = FALSE,
  mask = NULL,
  use_distance = FALSE
)

Arguments

reference

the raster with ground truth data. For all metrics expect RMSE these values are reclassified with values > 1 becoming 1, values < 1 going to 0, and NA values staying NA.

comparison

the raster with simulated data. For all metrics expect RMSE these values are reclassified with values > 1 becoming 1, values < 1 going to 0.

use_configuration

Boolean if you want to use configuration disagreement for comparing model runs. Default is FALSE.

mask

Used to provide a mask to remove 0's that are not true negatives from comparisons.

use_distance

Boolean if you want to compare distance between simulations and observations. Default is FALSE.

Value

A data frame with spatial configuration metrics. Particularly quantity, allocation, and total disagreement, omission and commission, and directional disagreement where directional disagreement.