covar.plot: Plot wavelet variance/covariance
In spind: Spatial Methods and Indices

Description Usage Arguments Details Value Author(s) See Also Examples

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

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

`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

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.

A list containing

1. result = a vector of results.

2. plot = a ggplot object

Gudrun Carl

wavevar, wavecovar

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