RELEASE NOTES 

		spatstat 1.12-7

		11 February 2008

OVERVIEW
	New simulation algorithms for area-interaction processes
	and inhomogeneous Neyman-Scott processes.
	Various minor improvements.

IMPROVEMENTS/ENHANCEMENTS

	rmh
	rmhmodel
		The implementation of the Metropolis-Hastings simulation
		algorithm (rmh) has been extended to include 
		simulation of the area-interaction point process.

		An area-interaction model fitted by ppm() can now be
		simulated automatically using rmh.

		Example:
		    data(swedishpines)
		    fit <- ppm(swedishpines, ~1, AreaInter(4))
		    rmh(fit, control=list(nrep=1e4))

		The current implementation is relatively slow compared to
		some of the other models (e.g. about 90 times slower than
		simulation of the Strauss process).

	rMatClust
	rThomas
		These functions will now simulate spatially inhomogeneous
		versions of the Matern Cluster process and the Thomas
		cluster process, with spatially inhomogeneous clusters,
		as described by Waagepetersen (2006).

	kstest
		The printed output (from print.kstest) and the
		annotation of plots (in plot.kstest) have been improved.

	data(chorley)
		The boundary polygon of this dataset has been modified
		(by slightly shifting one vertex) so that all data points lie
		inside the polygon.
	
	Summary functions Kest, Fest, Gest etc
		The printing of objects of class "fv" has been improved.

	kstest
		The printing of spatial Kolmogorov-Smirnov tests,
		and the annotation of plots, have been improved. 
		The internal format of objects of class "kstest" 
		has changed slightly. [There should be no compatibility
		problems.]