predict: Predict function for Naive Bayes Spatial Model

In edelcallejoc/rspecies: A Spatial Data Mining Framework for Species Distribution Modelling

Description

This function allows to calculate the classification of each cell in the GRID, based on the score function of the naive Bayes model. See score function.

Usage

predict(object, apr_inc, ...)

Arguments

object	A SpNaBaModel object from NBModel function.
apr_inc	logical. If TRUE the apriori score is included for prediction calculation.
...	pass to other methods.

Author(s)

Enrique Del Callejo-Canal ([e-mail]).

Examples

library(sp)
library(rgeos)
data(Mex0)
data(mammals)

# Generating de grid from Mex0 data
Mex0.grd<-grd_build(Mex0)

# Identification points of mammals with colnames = NULL.
x.mat<-id_pts(grd = Mex0.grd, pts = mammals)

x.model <- NBModel(x.mat, target = 1:10, fac.lap = 0.01)

x.prediction <- predict(x.model, apr_inc = FALSE)

edelcallejoc/rspecies documentation built on May 27, 2019, 7:25 a.m.