summarise_extrapolation: Summary of extrapolation

In densitymodelling/dsmextra: A Toolkit for Extrapolation Assessments in Density Surface Models

Description

Displays a tabular summary of the geographic extent of extrapolation. This is calculated as the number (and proportion) of prediction locations (i.e. grid cells) subject to extrapolation.

Usage

summarise_extrapolation(
  extrapolation.object,
  covariate.names = NULL,
  extrapolation = TRUE,
  mic = TRUE
)

Arguments

extrapolation.object	Output object from a run of compute_extrapolation.
extrapolation	Logical. Whether to return a summary of univariate/combinatorial extrapolation. Defaults to TRUE.
mic	Logical. Whether to return a summary of the most influential covariates (MIC) - see compute_extrapolation. Defaults to TRUE.

Value

Prints a summary table in the R console. In addition, if assigned to an object, returns a list with the table values (.n = number of locations, .p = corresponding percentage).

Author(s)

Phil J. Bouchet

References

Bouchet PJ, Miller DL, Roberts JJ, Mannocci L, Harris CM and Thomas L (2019). From here and now to there and then: Practical recommendations for extrapolating cetacean density surface models to novel conditions. CREEM Technical Report 2019-01, 59 p. https://research-repository.st-andrews.ac.uk/handle/10023/18509

Mesgaran MB, Cousens RD, Webber BL (2014). Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models. Diversity & Distributions, 20: 1147-1159, DOI: 10.1111/ddi.12209

See Also

compute_extrapolation

densitymodelling/dsmextra documentation built on Feb. 12, 2022, 4:40 a.m.