sdm R package - Species Distribution Modelling

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.

Identification

Date ( Publication ): 2021-11-12

Status: Completed

Version: 1.1.8

Keywords: SDM

Keywords: species distribution modelling

Keywords: model ensemble

Keywords: model calibration

Keywords: model evaluation

Keywords: presence-background

Keywords: presence-absence

Keywords: R

Access constraints: License

Use limitation: https://cran.r-project.org/web/licenses/GPL-3

Author

Imperial College London, Silwood Park, Buckhurst Road, Ascot, Berkshire, SL5 7PY UK - Babak Naim

Creator

Imperial College London, Silwood Park, Buckhurst Road, Ascot, Berkshire, SL5 7PY UK - Miguel B. Araujo

OnLine resource: CRAN link ( WWW:LINK-1.0-http--link )

Required Services: R (≥ 3.0.0)

Topic Category: Species distribution

Service Category: data collection and preparation

Service Category: model computation

Service Language: eng

Service TRL: TRL 9 – Actual system proven in operational environment

Service Training: https://onlinelibrary.wiley.com/doi/10.1111/ecog.01881

Service User Manual: https://cran.r-project.org/web/packages/sdm/sdm.pdf

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