MaxentVariableselection Inputs/Outputs
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 contributio...
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ftdatacite:10.18738/t8/acthjo 2023-05-15T15:01:31+02:00 MaxentVariableselection Inputs/Outputs FLUD Research Group 2020 https://dx.doi.org/10.18738/t8/acthjo https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/ACTHJO unknown Texas Data Repository Dataverse dataset Dataset 2020 ftdatacite https://doi.org/10.18738/t8/acthjo 2021-11-05T12:55:41Z 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 Dataset Arctic Climate change DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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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 |
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FLUD Research Group MaxentVariableselection Inputs/Outputs |
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FLUD Research Group |
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FLUD Research Group |
title |
MaxentVariableselection Inputs/Outputs |
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MaxentVariableselection Inputs/Outputs |
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MaxentVariableselection Inputs/Outputs |
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MaxentVariableselection Inputs/Outputs |
title_full_unstemmed |
MaxentVariableselection Inputs/Outputs |
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maxentvariableselection inputs/outputs |
publisher |
Texas Data Repository Dataverse |
publishDate |
2020 |
url |
https://dx.doi.org/10.18738/t8/acthjo https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/ACTHJO |
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Arctic |
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Arctic |
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Arctic Climate change |
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Arctic Climate change |
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https://doi.org/10.18738/t8/acthjo |
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1766333532102197248 |