geolime.geostats.estimation

• geolime.geostats.estimation.kriging

Classes:

Covariance(dim, angles, 0.0, 0.0], scales, …)
Grid(metadata, convention)
Neighborhood()
PatternGenerator()

Functions:

average_kriging(xcoords, xdat, targets, cov, var)	Ordinary / Simple kriging algorithm (punctual).
block_kriging(xcoords, xdat, points, cov, neigh)	Block kriging function.
block_kriging_nodes(xcoords, xdat, point, …)	Punctual kriging function for a specific block node
compute_weights(xcoords, targets, cov)	Compute kriging weights according to a covariance model
cvv(cov[, pattern_generator, lag, method])	Applies a covariance model to a given grid for variance calculus
discrete_gaussian_kriging(target_grid, …)	Apply discrete gaussian kriging on a grid.
discrete_gaussian_kriging_block(point, …)	Apply discrete gaussian kriging on a grid block
discrete_gaussian_kriging_by_index(points, …)	Apply discrete gaussian kriging on a set of grid indices.
discrete_gaussian_weights(target_node, …)	Compute Discrete Gaussian Kriging weights
group_data(target_grid, xcoords, xdata)	Create a dataset from point mean in common blocks
in_which_block(x, grid)	Short summary.