Having estimated either the pair correlation or K functions
using respectively ginhomAverage or
KinhomAverage, the spatial parameters sigma and phi
can be estimated. This function provides a visual tool for
this estimation procedure.
an R object; output from the function
KinhomAverage or ginhomAverage
sigma.range
range of sigma values to consider
phi.range
range of phi values to consider
spatial.covmodel
correlation type see
?CovarianceFct
covpars
vector of additional parameters for
certain classes of covariance function (eg Matern), these
must be supplied in the order given in ?CovarianceFct
guess
logical. Perform an initial guess at
paramters? Alternative (the default) sets initial values
in the middle of sigma.range and phi.range. NOTE:
automatic parameter estimation can be can be unreliable.
Value
rpanel function to help choose sigma nad phi by eye
Details
To get a good choice of parameters, it is likely that the
routine will have to be called several times in order to
refine the choice of sigma.range and phi.range.
References
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.