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.

Default

Date ( Publication)
2021-11-12
Status
Completed
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

Keywords

modelling
Keywords

biogeography
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

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 Category

data processing
Service Category

modelling
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

Metadata

File identifier
32b06571-a84b-4a7d-8ab6-d95046a21e91 XML
Metadata language
en
Hierarchy level
Service
Metadata Schema Version

1.1.8
 
 

Overviews

overview
sdmpredictors.jpg

Spatial extent

Keywords



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