wavecovar function

Wavelet covariance analysis

Calculates the wavelet covariance based on a wavelet multiresolution analysis.

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

Arguments

• 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.

Returns

Wavelet covariance for f1 and f2.

Examples

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

See Also

waveslim, WRM, covar.plot, scaleWMRR

Author(s)

Gudrun Carl