ecospat.Epred: Prediction Mean

In ecospat: Spatial Ecology Miscellaneous Methods

Prediction Mean

Description

Calculate the mean (or weighted mean) of several predictions.

Usage

ecospat.Epred (x, w=rep(1,ncol(x)), th=0)

Arguments

x	A dataframe object with SDM predictions.
w	Weight of the model, e.g. AUC. The default is 1.
th	Threshold used to binarize.

Details

The Weighted Average consensus method utilizes pre-evaluation of the predictive performance of the single-models. In this approach, half (i.e. four) of the eight single-models with highest accuracy are selected first, and then a WA is calculated based on the pre-evaluated AUC of the single-models

Value

A weighted mean binary transformation of the models.

Author(s)

Blaise Petitpierre [e-mail]

References

Boyce, M.S., P.R. Vernier, S.E. Nielsen and F.K.A. Schmiegelow. 2002. Evaluating resource selection functions. Ecol. Model., 157, 281-300.

Marmion, M., M. Parviainen, M. Luoto, R.K. Heikkinen andW. Thuiller. 2009. Evaluation of consensus methods in predictive species distribution modelling. Diversity and Distributions, 15, 59-69.

Examples

x <- ecospat.testData[c(92,96)]
mean <- ecospat.Epred (x, w=rep(1,ncol(x)), th=0.5)

ecospat documentation built on July 4, 2024, 5:06 p.m.