covar.plot: Plot wavelet variance/covariance

Description

Plots the wavelet variance or covariance for the specified formula. The scale-dependent results are graphically displayed.

Usage

covar.plot(
  formula,
  data,
  coord,
  wavelet = "haar",
  wtrafo = "dwt",
  plot = "covar",
  customize_plot = NULL
)

Arguments

formula

With specified notation according to names in data frame.

data

Data frame.

coord

A matrix of 2 columns with corresponding x,y-coordinates which have to be integer.

wavelet

Type of wavelet: haar, d4, or la8.

wtrafo

Type of wavelet transform: dwt or modwt.

plot

Either var for wavelet variance analysis or covar for wavelet covariance analysis.

customize_plot

Additional plotting parameters passed to ggplot. NOW DEPRECATED

Value

A list containing

1. result = a vector of results.

2. plot = a ggplot object

Details

Each variable or pair of variables in formula is passed to wavevar or wavecovar internally, and the result is plotted as a function of level.

Examples

Run this code

# NOT RUN {
data(carlinadata)
coords <- carlinadata[,4:5]

covariance <- covar.plot(carlina.horrida ~ aridity + land.use - 1,
                         data = carlinadata,
                         coord = coords,
                         wavelet = "d4",
                         wtrafo = 'modwt',
                         plot = 'covar')

covariance$plot
covariance$result

variance <- covar.plot(carlina.horrida ~ aridity + land.use - 1,
                       data = carlinadata,
                       coord = coords,
                       wavelet = "d4",
                       wtrafo = 'modwt',
                       plot = 'var')

variance$plot
variance$result

# }