KinhomAverage: KinhomAverage function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

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.

Usage

KinhomAverage(xyt, spatial.intensity, temporal.intensity,
  time.window = xyt$tlim, rvals = NULL, correction = "iso",
  suppresswarnings = FALSE)

Arguments

xyt	an object of class stppp
spatial.intensity	A spatialAtRisk object
temporal.intensity	A temporalAtRisk object
time.window	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.
rvals	Vector of values for the argument r at which the inhmogeneous K function should be evaluated (see ?Kinhom). There is a sensible default.
correction	choice of edge correction to use, see ?Kinhom, default is Ripley isotropic correction
suppresswarnings	Whether or not to suppress warnings generated by Kinhom

Value

time average of inhomogenous K function.

References

1. 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/

2. Baddeley AJ, Moller J, Waagepetersen R (2000). Non-and semi-parametric estimation of interaction in inhomogeneous point patterns. Statistica Neerlandica, 54, 329-350.

3. Brix A, Diggle PJ (2001). Spatiotemporal Prediction for log-Gaussian Cox processes. Journal of the Royal Statistical Society, Series B, 63(4), 823-841.

4. Diggle P, Rowlingson B, Su T (2005). Point Process Methodology for On-line Spatio-temporal Disease Surveillance. Environmetrics, 16(5), 423-434.

See Also

ginhomAverage, spatialparsEst, thetaEst, lambdaEst, muEst

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.