MaxentVariableselection Inputs/Outputs

• Main Author: FLUD Research Group
• Format: Dataset
• Language: unknown
• Published: Texas Data Repository Dataverse 2020
• Subjects: Arctic; Climate change
• Online Access: https://dx.doi.org/10.18738/t8/acthjo; https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/ACTHJO

The following files are inputs and outputs to the MaxentVariableSelection procedure (Jueterbock et.al. 2016) that is used to judge which combinations of environmental variables and regularization multiplier (beta parameter) are most effective. MaxentVariableSelection was conducted with a contribution threshold of 5, a correlation threshold of 0.9, and eligible beta parameters include (1.0,2.0,3.0,4.0,5.0,6.0,7.0). The following files are inputs: variablesatlocations_0p150.csv, variablesNOTatlocations.csv; the output is the ModelPerformance.txt that was used to assess model fidelity. A technical description of model performance metrics and appropriate model setup can be found at Jueterbock (2016) Jueterbock, A., Smolina, I., Coyer, J.A., Hoarau, C. (2016). The fate of arctic seaweed Fucus disticus under climate change: an ecological niche modeling approach. Ecology and Evolution, 6(6), 1712-1724. Jueterbock, A. (2016) MaxentVariableSelection vignette. Online. Accessed 5 March 2020. url: https://cran.r-project.org/web/packages/MaxentVariableSelection/vignettes/MaxentVariableSelection.pdf