RELEASE NOTES 

		spatstat 1.20-2

		10 august 2010

	We thank Jan Wild for suggestions.
	
OVERVIEW

        Extensions to minimum contrast estimation.
        Bug fix in simulation of Lennard-Jones model.
	More support for distance functions.
	Changes to point process simulations.

NEW FUNCTIONS

        thomas.estpcf
	matclust.estpcf
	lgcp.estpcf
		Fit a Thomas process, Matern Cluster process or 
		log-Gaussian Cox process model by minimum contrast using the
		pair correlation function (instead of the K-function).

    	contour.distfun,  persp.distfun
    	        Methods for 'contour' and 'persp' for distance functions

        default.expand
                Computes default window for simulation of
		a fitted point process model.

IMPROVEMENTS/ENHANCEMENTS

	kppm
		Models can now be fitted using either 
		the K-function or the pair correlation function.

        ppm
		The list of covariates can now include windows 
		(objects of class 'owin'). A window will be treated
		as a logical covariate that equals TRUE inside the window
		and FALSE outside it.

        plot.distfun
	    	Pixel resolution can now be controlled.

        envelope.ppm, qqplot.ppm
    		The default value of 'control' has changed;
		simulation results may be slightly different.

        rmh
	    	Slightly accelerated.

BUGS

	[1] rmh
	    	Simulation of the Lennard-Jones model (cif = 'lennard') 
		was incorrect due to an obscure bug, 
		introduced in spatstat 1.20-1.
		Fixed.

	[2] thomas.estK, matclust.estK, lgcp.estK
	    	The value of 'lambda' (if given) 
		was ignored if X was a point pattern.
		Fixed.