ASTIKhat: Anisotropic Space-Time Inhomogeneous K-function

In stpp: Space-Time Point Pattern Simulation, Visualisation and Analysis

Anisotropic Space-Time Inhomogeneous K-function

Description

Compute an estimation of the Anisotropic Space-Time inhomogeneous K-function.

Usage

ASTIKhat(xyt, s.region, t.region, lambda, dist, times, ang,
  correction = "border")

Arguments

xyt	Coordinates and times (x,y,t) of the point pattern.
s.region	Two-column matrix specifying polygonal region containing all data locations. If s.region is missing, the bounding box of xyt[,1:2] is considered.
t.region	Vector containing the minimum and maximum values of the time interval. If t.region is missing, the range of xyt[,3] is considered.
dist	Vector of distances u at which K_φ(r,t) is computed. If missing, the maximum of dist is given by min(S_x, S_y)/4, where S_x and S_y represent the maximum width and height of the bounding box of s.region.
times	Vector of times v at which K_φ(r,t) is computed. If missing, the maximum of times is given by (T_max - T_min)/4, where T_min and T_max are the minimum and maximum of the time interval T.
lambda	Vector of values of the space-time intensity function evaluated at the points (x,y,t) in S x T. If lambda is missing, the estimate of the anisotropic space-time K-function is computed as for the homogeneous case, i.e. considering n/|S x T| as an estimate of the space-time intensity.
ang	Angle in radians at which K_φ(r,t) is computed. The argument ang=2*pi by default.
correction	A character vector specifying the edge correction(s) to be applied among "border", "modified.border", "translate" and "none" (see STIKhat). The default is "border".

Value

A list containing:

AKhat	ndist x ntimes matrix containing values of K_φ(u,v).
dist, times	Parameters passed in argument.
correction	The name(s) of the edge correction method(s) passed in argument.

Author(s)

Francisco J. Rodriguez-Cortes <[e-mail]>

References

Illian, J. B., Penttinen, A., Stoyan, H. and Stoyan, D. (2008). Statistical Analysis and Modelling of Spatial Point Patterns. John Wiley and Sons, London.

Gonzalez, J. A., Rodriguez-Cortes, F. J., Cronie, O., Mateu, J. (2016). Spatio-temporal point process statistics: a review. Spatial Statistics. Accepted.

Ohser, J. and D. Stoyan (1981). On the second-order and orientation analysis of planar stationary point processes. Biometrical Journal 23, 523-533.

stpp documentation built on Dec. 1, 2022, 1:34 a.m.