Set_AV: Single boosted regression tree (BRT) habitat models for 13 fish species based on assessed hydromorphological variables without topological variables
Results for single boosted regression tree (BRT) models for 13 fish species, 4 modelled distance classes (0, 200, 2500, 4000 m) and assessed hydromorphological data (AV) without topological variables. Model results include a global BRT model (brt.model.global, including all variables) and a final BR...
Main Authors: | , , |
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Format: | Dataset |
Language: | unknown |
Published: |
Dryad Digital Repository
2015
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.b6k1k/1 http://datadryad.org/resource/doi:10.5061/dryad.b6k1k/1 |
Summary: | Results for single boosted regression tree (BRT) models for 13 fish species, 4 modelled distance classes (0, 200, 2500, 4000 m) and assessed hydromorphological data (AV) without topological variables. Model results include a global BRT model (brt.model.global, including all variables) and a final BRT model (brt.model.final, including only statistically relevant variables) for each species. Furthermore, summarizing statistics (brt.stats.final) for each final model (e.g. cross-validated AUC) and associated plots showing the influence of selected selected variables (species_response.pdf) are provided. Models are stored as R objects in the *.rds format and can be loaded with the R command readRDS(). |
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