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
- 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
- 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
Metadata
- File identifier
- 80b5a9a9-f909-4813-a8a0-b12d15ecbbe8 XML
- Metadata language
- en
- Hierarchy level
- Service
- Metadata Schema Version
-
1.3.3