NullModel: Null Model
In zoonproject/modules: Species Distribution Modelling Code Modules for the ZOON Package

Description Usage Arguments Details Data type Version Date submitted Author(s) See Also

A simple null model for predicting species distributions. Predictions are simply the mean of the occurrence values column. This only make sense for some data combination, see details.

1	NullModel(.df)

.df

Internal parameter, do not use in the workflow function. .df is data frame that combines the occurrence data and covariate data. .df is passed automatically in workflow from the process module(s) to the model module(s) and should not be passed by the user.

The predictions can be interpreted as the landscape-level prevalence (for presence & absence), a metric of suitability (for presence & background), a mean abundance (for abundance) or a site-level prevalence (for proportion). The module will error if the occurrence data types are not one of these types

presence/absence, presence/background, abundance, proportion

0.1

2017-05-03

Nick Golding, nick.golding.research@gmail.com

Other model: BiomodModel, Domain, GBM, LogisticRegression, MachineLearn, MaxEnt, MaxLike, MaxNet, MyMaxLike, OptGRaF, QuickGRaF, RandomForest, StochasticLogisticRegression, mgcv