geolime.geostats.estimation.uniform_conditioning

Classes:

Covariance(dim, angles, 0.0, 0.0], scales, …)

Grid(metadata, convention)

Neighborhood()

PatternGenerator()

threadpool_limits([limits, user_api])

Change the maximal number of threads that can be used in thread pools.

Functions:

block_kriging_nodes(xcoords, xdat, point, …)

Punctual kriging function for a specific block node

change_of_support(anam, cov_raw, …[, nlag])

Compute the change of support coefficient

cvv(cov[, pattern_generator, lag, method])

Applies a covariance model to a given grid for variance calculus

evaluate_hermite_expansion(x[, coeff])

Evaluate at x a function determined by its coefficients in the Hermite expansion.

evaluate_hermite_expansion_for_metal(val, …)

Evaluate germite expansion for metal

inverse_anamorphosis_theoretical(z, anam[, …])

Compute theoretical inverse anamorphosis for a single value.

inverse_var_function(var, anam[, nlag])

Compute inverse variance

ore_metal(zcut, anam)

Apply non Conditional Expectation given hermite coefficients anamorphosis and a cut-off value

uc(zcut, kriging_gauss_panel, anamblock, r, s)

Apply Uniform Conditoning on a Panel according to a cut off value.

uc_on_grid(anam, panel_grid, data_coords, …)

Apply Uniform Conditioning on a Panel Grid

uc_prepare(anam, panel_center, data_coords, …)

Prepare Uniform Conditioning on a panel by computing panel Kriging and Panel-Point support coefficient
geolime.geostats.estimation.uniform_conditioning.change_of_support(anam: numpy.ndarray, cov_raw: geolime.geostats.models.covariance.Covariance, pattern_generator: geolime.geostats.patterns.pattern_generator.PatternGenerator, nlag: int = 100)

Compute the change of support coefficient

Parameters

  • anam (np.ndarray) – Array describing characteristics of the anamorphosis used for calculating the change of support coefficient.

  • cov_raw (Covariance) – Value of the average covariance over the block.

  • pattern_generator (PatternGenerator) – Optional points pattern to consider for cvv calculation E.g. refinment pattern of a grid cell into [x, x, x]

  • nlag (int, optional) – Sampling lags used in the inverse calculation

Returns

  • float – Change of support coefficient

  • np.ndarray – Block anamorphosis coefficients

geolime.geostats.estimation.uniform_conditioning.inverse_var_function(var: float, anam: numpy.ndarray, nlag: int = 100)

Compute inverse variance

Parameters

  • var (float) – Variance array

  • anam (np.ndarray) – Anamorphosis results array

  • nlag (int, optional) – Sample lags

Returns

Inverse variance array

Return type

np.ndarray

geolime.geostats.estimation.uniform_conditioning.ore_metal(zcut: float, anam: numpy.ndarray)

Apply non Conditional Expectation given hermite coefficients anamorphosis and a cut-off value

Parameters

  • zcut (float) – Cut-Off value

  • anam (np.ndarray) – Array describing characteristics of the anamorphosis used for calculating the change of support coefficient.

Returns

  • np.ndarray – Proportion of metal above cut-off in a block

  • np.ndarray – Volumetric quantity of metal above cut-off in a block

geolime.geostats.estimation.uniform_conditioning.uc(zcut: float, kriging_gauss_panel: numpy.ndarray, anamblock: numpy.ndarray, r: float, s: float, ymin: float = - 4.5, ymax: float = 4.5, nlag: int = 100)

Apply Uniform Conditoning on a Panel according to a cut off value.

Parameters

  • zcut (float) – Cut-Off value

  • kriging_gauss_panel (np.ndarray) – Panel Kriging results

  • anamblock (np.ndarray) – Array describing characteristics of the anamorphosis used for calculating the change of support coefficient.

  • r (float) – Block-Point change of support coefficient

  • s (float) – Panel-Point change of support coefficient

  • ymin (float, optional) – Minimum value for inverse computation of gaussian cut-off

  • ymax (float, optional) – Maximum value for inverse computation of gaussian cut-off

  • nlag (int, optional) – Discretization parameter for inverse computation of gaussian cut-off

Returns

  • np.ndarray – Proportion of metal above cut-off in a block

  • np.ndarray – Volumetric quantity of metal above cut-off in a block

geolime.geostats.estimation.uniform_conditioning.uc_on_grid(anam: numpy.ndarray, panel_grid: geolime.objects.grid.Grid, data_coords: numpy.ndarray, data_values: numpy.ndarray, cov_raw: geolime.geostats.models.covariance.Covariance, neigh: geolime.geostats.math.neighborhood.Neighborhood, panel_pattern_generator: geolime.geostats.patterns.pattern_generator.PatternGenerator, zcut: numpy.ndarray, r: float, anamblock: numpy.ndarray)

Apply Uniform Conditioning on a Panel Grid

Parameters

  • anam (np.ndarray) – Array describing characteristics of the anamorphosis used for calculating the block change of support coefficient.

  • panel_grid (Grid) – Panel Grid to apply Krigin

  • data_coords (np.ndarray) – Coordinates of conditioning data

  • data_values (np.ndarray) – Values of conditioning data

  • cov_raw (Covariance) – Value of the average covariance over the block.

  • neigh (Neighborhood) – Neighborhood model

  • panel_pattern_generator (PatternGenerator) – Panel pattern to consider for cvv calculation E.g. refinment pattern of a grid cell into [x, x, x]

  • zcut (np.ndarray) – Cut-Off values

  • r (float) – Block-Point change of support coefficient

  • anamblock (np.ndarray) – Array describing characteristics of the anamorphosis used for calculating the panel change of support coefficient.

Returns

  • np.ndarray – Proportion of metal above cut-off for blocks in a panel

  • np.ndarray – Volumetric quantity of metal above cut-off

geolime.geostats.estimation.uniform_conditioning.uc_prepare(anam: numpy.ndarray, panel_center: numpy.ndarray, data_coords: numpy.ndarray, data_values: numpy.ndarray, cov_raw: geolime.geostats.models.covariance.Covariance, neighborhood: geolime.geostats.math.neighborhood.Neighborhood, pattern_generator: geolime.geostats.patterns.pattern_generator.PatternGenerator, var: float)

Prepare Uniform Conditioning on a panel by computing panel Kriging and Panel-Point support coefficient

Parameters

  • anam (np.ndarray) – Array describing characteristics of the anamorphosis used for calculating the change of support coefficient.

  • panel_center (np.ndarray) – Center coordinates of considered panel

  • data_coords (np.ndarray) – Coordinates of conditioning data

  • data_values (np.ndarray) – Values of conditioning data

  • cov_raw (Covariance) – Value of the average covariance over the block.

  • neighborhood (Neighborhood) – Neighborhood model

  • pattern_generator (PatternGenerator) – Optional points pattern to consider for cvv calculation E.g. refinment pattern of a grid cell into [x, x, x]

  • var (float) – Block variance

Returns

  • np.ndarray – Panel krigin gaussian results

  • np.ndarray – Panel-point support coefficient