gaussian_covariance#

resmda.utils.gaussian_covariance(nx, ny, length, theta, variance, dtype='float32')[source]#

Return covariance matrix with Gaussian properties

Generate covariance matrix based on grid size, anisotropy, and statistical parameters.

Parameters:
nx, nyint

Dimensions of the grid.

lengthfloat

Length scales for the correlation of the property.

thetafloat

Rotation angle for the anisotropy in the property field.

variancefloat

Variance of the property.

dtypestr, default: ‘float32’

Data type for computations.

Returns:
covndarray

Covariance matrix for the property field.