Backgrounddata: CSV file with background/pseudoabsence data

In alj1983/MaxentVariableSelection: Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling

Description

Longitude and latitude values, as well as values of four environmental variables (from the Bio-ORACLE dataset; Tyberghein et al., 2012) for each of 10,000 background points. The background points were selected randomly along shorelines of all continents in the northern hemisphere.

Format

A data frame that specifies environmental conditions and geographic locations of 10,000 background sites.

species

The species name is here set to 'bg', which stands for background

longitude

longitudinal coordinate

latitude

latitudinal coordinate

calcite

Mean calcite concentration (mol/m3)

parmean

Mean photosynthetically active radiation (Einstein/m2/day)

salinity

Mean salinity (PSS)

sstmax

Maximum sea surface temperature (degree celsius)

References

Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F and De Clerck, O (2012)
Bio-ORACLE: a global environmental dataset for marine species distribution modelling
Global Ecology and Biogeography 21:2 272–281.

Examples

backgroundlocations <- system.file("extdata",
                                   "Backgrounddata.csv",
                                   package="MaxentVariableSelection")
backgroundlocations <- read.csv(backgroundlocations,header=TRUE)
head(backgroundlocations)

alj1983/MaxentVariableSelection documentation built on May 10, 2019, 9:17 a.m.