Backgrounddata: CSV file with background/pseudoabsence data

In 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)

Example output

  species  longitude latitude  calcite parmean salinity sstmax
1      bg   39.79166 65.29166 0.008550  34.578   23.120 10.288
2      bg   21.12499 79.54166 0.014036  22.214   32.437  1.286
3      bg   -4.95834 55.29166 0.000616  29.078   33.071 15.650
4      bg -135.37500 59.29166 0.006449  31.596   30.959 12.050
5      bg   18.04166 42.62499 0.000300  33.575   38.582 25.935
6      bg   -4.45834 48.70833 0.002778  31.614   35.007 15.621

MaxentVariableSelection documentation built on May 1, 2019, 8:20 p.m.