stmra_cov_nonstationary_R2_separable | R Documentation |
Compute pairwise covariances between two sets of locations using a nonstationary kernel convolution approach with standard deviation and anisotropy varying as weighted sum of Gaussian radial basis functions cenetered at different latitudes.
stmra_cov_nonstationary_R2_separable(locs1, locs2, theta)
locs1 |
matrix with rows representing points and columns representing coordinates |
locs2 |
matrix with rows representing points and columns representing coordinates |
theta |
vector of parameters (see Details) |
Parameter vector theta
includes spatial nugget, temporal nugget, temporal range, standard deviation by latitude (9 values), spatial range in east-west direction (9 values), spatial range in south-north direction (9 values) (in this order).
Paciorek, C. J., & Schervish, M. J. (2006). Spatial modelling using a new class of nonstationary covariance functions. Environmetrics: The official journal of the International Environmetrics Society, 17(5), 483-506.
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