geolime.geostats

• geolime.geostats.estimation
  • geolime.geostats.estimation.kriging
• geolime.geostats.math
  • geolime.geostats.math.anamorphosis
  • geolime.geostats.math.gauss_score
  • geolime.geostats.math.hermite
  • geolime.geostats.math.neighborhood
• geolime.geostats.models
  • geolime.geostats.models.autofit
  • geolime.geostats.models.covariance
  • geolime.geostats.models.model
• geolime.geostats.patterns
  • geolime.geostats.patterns.grid_pattern_generator
  • geolime.geostats.patterns.pattern_generator
• geolime.geostats.variogram
  • geolime.geostats.variogram.variogram

Classes:

ABCMeta(name, bases, namespace, **kwargs)	Metaclass for defining Abstract Base Classes (ABCs).
Covariance(dim, angles, 0.0, 0.0], scales, …)
CovarianceElem(dim, angles, scales, …)
CustomNeigh(dim, angles, scales, n, convention)
Enum(value)	Generic enumeration.
Exponential(dim, angles, scales, convention)
Gaussian(dim, angles, scales, convention)
Grid(metadata, convention)
GridPatternGenerator(grid, discr)
Neighborhood()
Nugget(dim, angles, scales, convention)
PatternGenerator()
Spherical(dim, angles, scales, convention)
product	product(*iterables, repeat=1) –> product object

Data:

Callable	Callable type; Callable[[int], str] is a function of (int) -> str.
List	The central part of internal API.

Functions:

abstractmethod(funcobj)	A decorator indicating abstract methods.
angle_between_vectors(v1, v2)	Compute the angle between two vectors using the dot product
anisotropic_distance([a])	Anisotropic distance between two points according to the anisotropy matrix a.
arg_sort_near_points(p, x[, distance])	Function to compute the indexes indicating the order in which the rows of X are close to p according to the distance distance (from small distance to large distance)
arithmetic(angle)	Convert an angle from geographic to arithmetic
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
covariance(values, indices)	Compute the covariance given an array of values for a set of pairs
cvv(cov[, pattern_generator, lag, method])	Applies a covariance model to a given grid for variance calculus
directional_vector(dimension, …)	Compute directional vector from angles
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
distance_matrix(x1, x2[, distance])	Computes the distance matrix of two sets of points in the Euclidean space according to a distance.
euclidian_distance(x, y)	Compute the Euclidean distance between two points.
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
evaluate_hermite_expansion_for_metal_memsafe_variable(…)
evaluate_hermite_expansion_memsafe(x[, coeff])	Evaluate at x a function determined by its coefficients in the Hermite expansion.
evaluate_hermite_expansion_memsafe_variable(x, …)	Evaluate at x a function determined by its coefficients in the Hermite expansion.
fill_cov(param, cov)	Append additional information to covariance element (angles and scales)
gauss_score(z[, weights, sort])	Function to obtain the (standard) Gaussian scores of a sample.
gaussian_anamorphosis(z[, yzmin, yzmax, …])	Function to obtain a Gaussian anamorphose model for a sample.
group_data(target_grid, xcoords, xdata)	Create a dataset from point mean in common blocks
hermite_coefficients_anamorphosis(n, z[, …])	Function to obtain the Hermite coefficients of a Gaussian anamorphose model function.
hermite_coefficients_piecewise_linear(n, x, y)	Computes the Hermite coefficients of a piece-wise linear function continuous in an interval, with a desired extension outside the interval.
hermite_polynomials(x, n)	Function to compute the Hermite polynomials up to order n.
in_angle(vdir, atol)	Return a function that checks for an index vector if it belongs to an angular range.
in_range(target, atol)	Check if target angle lies within a range of angles (defined by an angle tolerance)
in_slice(azimuth[, width, height])	Return a function that check whether a vector (cartesian coordinates) lies within a slice (defined by a width and a height in meters)
in_which_block(x, grid)	Short summary.
init_params(cov, vario[, constraint])	Initialize parameters for variogram model fitting
inverse_anamorphosis_from_obs(z[, yzmin, …])	Function to obtain the (pseudo-)inverse of a Gaussian anamorphose model for a sample date.
inverse_anamorphosis_theoretical(z, anam[, …])	Compute theoretical inverse anamorphosis
model_fit(variograms[, cov, constraint])	Fit a variogram model from an experimental semivariogram
model_regularize(variogram, model, …[, …])	Semi-variogram regularization from a covariance model.
norm(x[, ord, axis, keepdims])	Matrix or vector norm.
normalize(a, center)	(Adapted from Apach Commons normalizeAngle, MathUtils sources) Normalize an angle in a 2pi; wide interval around a center value.
pairwise(coords)	Computes pairwise distances
residual(p, vario, cov, nlags)	Residuals to be minimized for model fitting
rot_yxz(angles[, deg, clockwise])	Example of a convention
rot_z(alpha[, deg, clockwise])	Rotation againt the Z axis
rot_zyx(angles[, deg, clockwise])	Example of a convention (RGeoStats)
select_index_from_slice(idx, f)	Compare vectors from a set of indices
select_indices(coords, pwdist, lag, tol, …)	Check whether a set of points (linked to their distances) match the input restricted boundaries.
select_indices_from_angle(idx, f)	Compare vectors from a set of indices
select_indices_from_lag(pwdist, lag, tol)	Check whether a set of distances lie within a lag-range.
semivariance(values, indices)	Compute the semivariance given an array of values for a set of pairs
variogram(coords, values, lags, tol, …[, …])	Given boundary input arguments (lag and its associated tolerance, angular reference and its associated tolerance), compute the variogram for a set of points (value associated with cartesian coordinates for a specific point)
which_in_ball(x[, p, r, distance])	Function to return the indexes of the points which are in a (closed) ball in the Euclidean space.
which_nearest_in_ball(x[, p, r, distance, n])	Function to obtain the N closest points of a set of points to the # center of a ball which are on that ball.