wavecovar: Wavelet covariance analysis
In spind: Spatial Methods and Indices

Description Usage Arguments Value Author(s) See Also Examples

Calculates the wavelet covariance based on a wavelet multiresolution analysis.

1	wavecovar(f1, f2, coord, wavelet = "haar", wtrafo = "dwt")

`f1`	A vector of length n.
`f2`	A vector of length n.
`coord`	A matrix of two columns with corresponding cartesian coordinates. Currently only supports integer coordinates.
`wavelet`	Name of wavelet family. `haar`, `d4`, and `la8`. are possible. `haar` is the default.
`wtrafo`	Type of wavelet transform. Either `dwt` or `modwt`. `dwt` is the default.

Wavelet covariance for f1 and f2.

Gudrun Carl

waveslim, WRM, covar.plot, scaleWMRR

data(carlinadata)

coords <- carlinadata[ ,4:5]
pc <- covar.plot(carlina.horrida ~ aridity + land.use,
                 data = carlinadata,
                 coord = coords,
                 wavelet = 'd4',
                 wtrafo = 'modwt',
                 plot = 'covar')

pc$plot