| ecospat.Epred {ecospat} | R Documentation |
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 bpetitpierre@gmail.com
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)