API reference¶

Point Pattern¶

 PointPattern(points[, window, names, …]) Planar Point Pattern Class 2-D.

Point Processes¶

 PointProcess(window, n, samples[, asPP]) Point Process base class. PoissonPointProcess(window, n, samples[, …]) Poisson point process including $$N$$-conditioned CSR process and $$\lambda$$-conditioned CSR process. PoissonClusterPointProcess(window, n, …[, …]) Poisson cluster point process (Neyman Scott).

Centrography¶

 mbr(points) Find minimum bounding rectangle of a point array. hull(points) Find convex hull of a point array. mean_center(points) Find mean center of a point array. weighted_mean_center(points, weights) Find weighted mean center of a marked point pattern. manhattan_median(points) Find manhattan median of a point array. std_distance(points) Calculate standard distance of a point array. euclidean_median(points) Calculate the Euclidean median for a point pattern. ellipse(points) Calculate parameters of standard deviational ellipse for a point pattern. skyum(points[, not_hull]) Implements Skyum (1990)’s algorithm for the minimum bounding circle in R^2. dtot(coord, points) Sum of Euclidean distances between event points and a selected point. _circle(p, q, r[, dmetric]) Returns (radius, (center_x, center_y)) of the circumscribed circle by the triangle pqr.