A function to estimate the inhomogeneous K function for a spatiotemporal point process. The method of computation is similar to ginhomAverage, see eq (8) Diggle P, Rowlingson B, Su T (2005) to see how this is computed.
KinhomAverage(
xyt,
spatial.intensity,
temporal.intensity,
time.window = xyt$tlim,
rvals = NULL,
correction = "iso",
suppresswarnings = FALSE
)an object of class stppp
A spatialAtRisk object
A temporalAtRisk object
time interval contained in the interval xyt$tlim over which to compute average. Useful if there is a lot of data over a lot of time points.
Vector of values for the argument r at which the inhmogeneous K function should be evaluated (see ?Kinhom). There is a sensible default.
choice of edge correction to use, see ?Kinhom, default is Ripley isotropic correction
Whether or not to suppress warnings generated by Kinhom
time average of inhomogenous K function.
Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2013). Journal of Statistical Software, 52(4), 1-40. URL http://www.jstatsoft.org/v52/i04/
Baddeley AJ, Moller J, Waagepetersen R (2000). Non-and semi-parametric estimation of interaction in inhomogeneous point patterns. Statistica Neerlandica, 54, 329-350.
Brix A, Diggle PJ (2001). Spatiotemporal Prediction for log-Gaussian Cox processes. Journal of the Royal Statistical Society, Series B, 63(4), 823-841.
Diggle P, Rowlingson B, Su T (2005). Point Process Methodology for On-line Spatio-temporal Disease Surveillance. Environmetrics, 16(5), 423-434.