Additional file 4 of Predicting the distribution of Ixodes ricinus and Dermacentor reticulatus in Europe: a comparison of climate niche modelling approaches
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https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Predicting_the_distribution_of_Ixodes_ricinus_and_Dermacentor_reticulatus_in_Europe_a_comparison_of_climate_niche_modelling_approaches/26632099
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Additional file 4: Dataset S2. The model performance metrics for 96 modelling approaches for Ixodes ricinus and Dermacentor reticulatus. Performance metrics include the area under the receiver-operating characteristic curve, true skill statistics, Miller’s calibration slope, continuous Boyce index and omission rate. The different modelling approaches included three modelling algorithms [random forests (RF), maximum entropy (MaxEnt) and generalised additive models (GAM)], with four explanatory variable sets (bioclimatic variables, WorldClim, TerraClimate and MODIS satellite-derived variables) and with eight training extents (100 km–700 km buffering extents around occurrence data increasing in increments of 100 km and the European extent).
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figshare
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2024-08-14



