phylin (version 2.0.2)

predict.gv: Predict method for 'gen.variogram' object with model.

Description

Predicts values based on a fitted gen.variogram model.

Usage

# S3 method for gv
predict(object, newdata, ...)

Arguments

object

'gv' fitted model (see 'gen.variogram').

newdata

Real distances matrix to predict genetic distance by the fitted model.

…

Further arguments to be passed.

Value

Returns the matrix of predicted genetic distances.

See Also

gen.variogram plot.gv krig

Examples

# NOT RUN {
data(vipers)
data(d.gen)

# create a grid of the sampled area for interpolation
grid <- expand.grid(x=seq(-10,10,0.5), y=seq(30, 50, 0.5))

# create a distance matrix between samples
r.dist <- dist(vipers[,1:2])

# fit a variogram with defaults (spherical model) and estimation of range
gv <- gen.variogram(r.dist, d.gen)
gv <- gv.model(gv)

all.dist <- as.matrix(dist(grid))

result <- predict(gv, all.dist)

# }