ContrMap: CONTRIBUTION MAPS

In SPEDInstabR: Estimation of the Relative Importance of Factors Affecting Species Distribution Based on Stability Concept

CONTRIBUTION MAPS

Description

It creates global geographic ESRI ASCII raster files with the mean relative contribution of the factors (considering all species present in the cell).

Usage

ContrMap(data, vars, Species, Level=NULL, Taxon=NULL, jpg=FALSE)

Arguments

data	Data file, which it may be obtained using DataManager of ModestR. See details section of the function ContrBB for the explanation of the format of the data. IMPORTANT: It is also necessary the ESRI ASCII raster files with the distribution of the species obtained from ModestR, which are saved by default in a folder named "Species". Therefore, the working directory must be this folder with the ESRI ASCII raster files of the distribution of the species.
vars	Factors.
Species	Variable with the name of the species.
Level	Optionally, a taxonomic level may be selected, i.e., class, family, order, genus or species.
Taxon	Optionally, it is possible to work only with a selected species, just specifying the name of the taxon or taxa selected within the taxonomic level selected in the argument Level, i.e., name of the order, family, etc. Can be a vector, so several taxa.
jpg	If TRUE the plots are exported to jpg files instead of using the windows device.

Details

FUNCTIONS

The raster file is created using the functions raster, writeRaster and setValues of the package raster (Hijmans et al., 2015).

Value

ESRI ASCII raster files are obtained for each factor selected in the argument vars. Each raster cell is the mean relative contribution of the factor considering all species present in the cell. This raster map be displayed with MapMaker of ModestR (Garcia-Rosello et al., 2013), the function Rmap or any GIS software.

References

Hijmans, R.J., Etten, J. van, Cheng, J., Mattiuzzi, M., Sumner, M., Greenberg, J.A., Lamigueiro, O.P., Bevan, A., Racine, E.B., Shortridge, A., (2015) Geographic Data Analysis and Modeling. R package version 2.5-8. Available at: https://CRAN.R-project.org/package=raster.

SPEDInstabR documentation built on Nov. 8, 2023, 1:09 a.m.