Species Distribution Modelling
Adapting sdm* objects in the new version
add a new method to the package
Area of Applicability
Combine (merge) two sdmModels into a single object
Get a data.frame with record id values (rID)
Generate background (pseudo-absence) records
boxplot
Calibration
get or set spatial coordinates of species data
density
Ensemble Forecasting of SDMs
evaluate for accuracy
Indexing to extract records of a sdmdata object
featureFrame class
Get information/modelIDs relevant to fitted models in a sdmModels obje...
Graphical User Interface
install all packages that may be required by the package
Names of species
Generate and plot Ecological Niche
Niche Similarity
Converting probability of occurrence to Presence-absence
Principle Component Analysis
sdm model prediction
read/write sdm* object from/to a file
Generate and plot response curves
plot ROC curves
Fit and evaluate species distribution models
sdmCorrelativeMethod class
An S4 class representing sdm dataset
creating sdm Data object
sdmModels classes
creating sdmSetting object
Subset models in a sdmModels object
Identifying/extracting the best threshold to convert probabilities to ...
variable importance
An extensible framework for developing species distribution models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. For more information, please check the following paper: Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.