covar.plot: Plot wavelet variance/covariance

In levisc8/spind: Spatial Methods and Indices

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

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.

Value

A list containing

1. result = a vector of results.

2. plot = a ggplot object

Author(s)

Gudrun Carl

See Also

wavevar, wavecovar

Examples

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

levisc8/spind documentation built on April 3, 2024, 4:52 a.m.