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lgcp (version 0.9-1)

lambdaEst: lambdaEst function...

Description

lambdaEst function

Usage

lambdaEst(xyt, weights=c(), edge=TRUE, ...)

Arguments

xyt
object of class stppp
weights
Optional vector of weights to be attached to the points. May include negative values. See ?density.ppp.
edge
Logical flag: if TRUE, apply edge correction. See ?density.ppp.
...
arguments to be passed to plot

Value

  • This is an rpanel function for visual choice of lambda(s), the output is a variable, varname, with the density *per unit time* the variable varname can be fed to the function ginhomAverage or KinhomAverage as the argument density (see for example ?ginhomAverage), or into the function thetaEst as the argument spatial.intensity.

Details

A tool for the visual estimation of lambda(s) via a 2 dimensional smoothing of the case locations. For parameter estimation, the alternative is to estimate lambda(s) by some other means, convert it into a spatialAtRisk object and then into a pixel image object using the build in coercion methods, this im object can then be fed to ginhomAverage, KinhomAverage or thetaEst for instance.

References

  1. Brix A, Diggle PJ (2001). Spatiotemporal Prediction for log-Gaussian Cox processes. Journal of the Royal Statistical Society, Series B, 63(4), 823-841.
  2. Diggle P, Rowlingson B, Su T (2005). Point Process Methodology for On-line Spatio-temporal Disease Surveillance. Environmetrics, 16(5), 423-434.

See Also

spatialAtRisk, ginhomAverage, KinhomAverage, spatialparsEst, thetaEst, muEst