32b06571-a84b-4a7d-8ab6-d95046a21e91 1.1.8 sdm R package - Species Distribution Modelling 2021-11-12 An extensible framework that includes algorithms for presence-background (Maxent) and presence-absence (GAM, GLM, MARS, SVM, RF) for developing species distribution models using individual and community-based approaches, generate ensembles of models, calibrate and evaluate the models, and predict species potential distributions in space and time. For more information, please check the paper Naimi, B., Araujo, M.B. (2016) https://doi.org/10.1111/ecog.01881. Babak Naim Imperial College London, Silwood Park, Buckhurst Road, Ascot, Berkshire, SL5 7PY UK naimi.b@gmail.com Miguel B. Araujo Imperial College London, Silwood Park, Buckhurst Road, Ascot, Berkshire, SL5 7PY UK https://metadatacatalogue.lifewatch.eu/geonetwork/srv/api/records/32b06571-a84b-4a7d-8ab6-d95046a21e91/attachments/sdmpredictors.jpg sdmpredictors.jpg modelling biogeography SDM species distribution modelling model ensemble model calibration model evaluation presence-background presence-absence R https://cran.r-project.org/web/licenses/GPL-3 R (≥ 3.0.0) data collection and preparation model computation data processing modelling https://onlinelibrary.wiley.com/doi/10.1111/ecog.01881 https://cran.r-project.org/web/packages/sdm/sdm.pdf https://cran.r-project.org/package=sdm WWW:LINK-1.0-http--link CRAN link