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flexsdm R package - Tools for Data Preparation, Fitting, Prediction, Evaluation, and Post-Processing of Species Distribution Models

The package includes algorithms for presence-background (Maxent) and presence-absence (GAM, GLM, GBM, SVM, RF, ANN). Moreover, it contains functions for sampling bias correction, sampling pseudoabsences and background points, data partitioning, and reducing collinearity in predictors; fitting and evaluating models, ensembles of small models and ensemble models; models’ predictions, interpolation and overprediction correction.

Default

Date ( Publication)
2022
Status
Completed
Creator
  Department of Botany and Plant Sciences, University of California— Riverside, CA, USA - Santiago J.E. Velazco

Author
  Department of Botany and Plant Sciences, University of California— Riverside, CA, USA - Brooke Rose

Author
  Theory, Metacommunity and Landscape Ecology Lab, ICB V, Universidade Federal de Goiás, Goiânia, Brazil - André Felipe Alves de Andrade

Author
  Instituto de Biología Subtropical, Universidad Nacional de Misiones— CONICET, Puerto Iguazú, Argentina - Ignacio Minoli

Author
  Department of Botany and Plant Sciences, University of California— Riverside, CA, USA - Janet Franklin

Keywords

modelling

Keywords

data management

Keywords

SDM

Keywords

species distribution modelling

Keywords

presence-background

Keywords

presence-absence

Keywords

data quality

Keywords

model evaluation

Keywords

model prediction

Keywords

R

Access constraints
License
Use limitation

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

OnLine resource
Development site (

WWW:LINK-1.0-http--link

)
Required Services

R (>= 3.5.0)

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://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13874

Metadata

File identifier
80b5a9a9-f909-4813-a8a0-b12d15ecbbe8 XML
Metadata language
en
Hierarchy level
Service
Metadata Schema Version

1.3.3

 
 

Overviews

overview
sdmpredictors.jpg

Spatial extent

Keywords



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