plot-predict: An S4 method for SpatialPolygonsDataFrame and SpNaBaPred...

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

Description

A plot methods for classes "SpatialPolygonsDataFrame" and "SpNaBaPred".

Usage

plot_predict(map, prediction, target = NULL, ...)

Arguments

map	A SpatialPolygonsDataFrame object from grd_build function.
prediction	A SpNaBaPred object from predict function.
target	logical, character, numeric or NULL. A vector with names, position (integer or boolean) that especifies the columns of the target variables. If length = 1, the prediction map for the target is displayed. If length > 1, the prediction richness map of the targets is displayed.
...	Parameters passed to other functions (See par).

Value

a ggplot object

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)

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

# Calculando la predicci<c3><b3>n
x.prediction <- predict(x.model, apr_inc = FALSE)

# Plot of one target
plot_predict(Mex0.grd, x.prediction, target = 1)

# plot prediction of richness
plot_predict(Mex0.grd, x.prediction, target = 1:10)

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