RELEASE NOTES 

		spatstat 1.19-2

		09 June 2010

	We thank Jorge Mateu, Michael Sumner and Sebastian Luque
	for contributions.

OVERVIEW
        More support for fitted point process models and pixel images.
	Improved plotting of pixel images and envelopes.
        Simulation algorithm for Lennard-Jones process.
	Improvements and bug fixes to envelopes. 
	Bug fixes to Metropolis-Hastings simulation.

NEW FUNCTIONS

        pairs.im
	    Creates a scatterplot matrix for several pixel images.

        model.frame.ppm
	    Method for 'model.frame' for point process models.

        sort.im
	    Method for 'sort' for pixel images.

IMPROVEMENTS/ENHANCEMENTS

	plot.fv, plot.fasp
 	    New argument 'shade' enables confidence intervals
	    or significance bands to be displayed as filled grey shading.

        rmh, rmhmodel
     	   These functions will now simulate a point process model
	   that was fitted using the LennardJones() interaction.

        rmh.default, rmhmodel.default
	   These functions will now simulate a point process model
	   with the Lennard-Jones interaction (cif='lennard').

	LennardJones
	    The parametrisation of this model has changed.
	
        ecdf
	    This function now works for pixel images.

        dim, row, col
            These functions now work for pixel images.

        order
	    This function now works for pixel images.

        [.im and [<-.im 
	    The subset index can now be any valid subset index for a matrix.

 	density.ppp
	smooth.ppp
	    The return value now has attributes 'sigma' and 'varcov'
	    reporting the smoothing bandwidth.

        plot.im
	    The argument 'col' can now be a 'colourmap' object.
	    This makes it possible to specify a fixed mapping between
	    numbers and colours (e.g. so that it is consistent between
	    plots of several different images).

        rmh
	spatstat.options
	    spatstat.options now recognises the parameter 'expand' 
	    which determines the default window expansion factor in rmh.

	envelope
	    Now traps errors that may occur in applying the function 'fun' 
	    to random data (e.g. if the simulated point pattern is empty).

	    New argument 'maxnerr' controls the number of such errors
	    that will be tolerated.

	envelope
	    Default value of argument 'control' has been changed.
	    
	Kest, Kinhom
	    If correction="best", the argument 'nlarge' is effectively
	    set to infinity, so that the same edge correction is computed
	    no matter how many points are in the point pattern.

	kstest
	    The 'covariate' can be one of the characters "x" or "y"
	    indicating the Cartesian coordinates.

BUGS

    [1] model.matrix.ppm
    	For a fitted model that used a large number of quadrature points,
	model.matrix.ppm sometimes reported an internal error about mismatch
	between the model matrix and the quadrature scheme.
	Fixed.

    [2] plot.ppx
    	Minor bugs fixed.

    [3] rmh 
        (rmh.default)
    	In rare cases, the simulated point pattern 
	included multiple points at the origin (0,0).
	(Bug introduced in spatstat 1.17-0.)
	Fixed.

    [4] rmh 
        (rmh.ppm, rmhmodel.ppm)
    	Crashed when applied to a fitted multitype point process model
	if the model involved more than one covariate image.
	(Spotted by Jorge Mateu)
	Fixed.

    [5] density.psp
    	If any segment had zero length, the result contained NaN values.
	(Spotted by Michael Sumner and Sebastian Luque.)
	Fixed.

    [6] envelope
    	Crashed with fun=Lest or fun=Linhom if the number of points in 
	a simulated pattern exceeded 3000.
	Fixed.

    [7] plot.kstest
    	Main title was corrupted if the covariate was a function.
	Fixed.

    [8] envelope.ppp
    	Crashed if the object returned by 'fun' 
    	did not include a column called "theo".
    	Fixed.