Bioclim correlation analysis.
journal contribution
posted on 2021-03-03, 18:42 authored by John L. Schnase, Mark L. Carroll, Roger L. Gill, Glenn S. Tamkin, Jian Li, Savannah L. Strong, Thomas P. Maxwell, Mary E. Aronne, Caleb S. SpradlinTable shows values of Pearson correlation coefficient (r), Pearson coefficient of determination (r ²), and Variance Inflation Factor (VIF) for the Worldclim Bioclimatic variables for the study area [56]. Values of r > 0.8, r2 > 0.8, and VIF > 10.0 are highlighted and indicate highly correlated variables.
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data setsclimate model outputsMonte Carlo methodMaxEnt modelingMaxEnt MaxEntpermutation importanceMonte Carlo approachmodel constructionsubsetclimate changeniche modelingpredictorclimate variablesclimate systemnear-real-time multiprocessor imple...species distributionsclimate model output collectionsexternally-stored collectionensemble approachin-situ sensors
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