hi,

you may try:

Kinhow function for Inhomogeneous K-function

in spatstat package.

regards,
Volkan Kepoglu

On Wed, Sep 16, 2009 at 4:20 PM, Enrico R. Crema <enrico.crema@gmail.com>wrote:

> Dear List,
>
> I was wondering if there is actually a bivariate version of
> inhomogenous K function. My dataset present the distribution of two
> types of events (archaeological findings) and I have noticed that the
> joint pattern (thus ignoring the type of the point) show non-
> stationarity. This is due to a known first order-propriety which
> affects both types of artifacts in the very same way. However when
> assessing the significance in the interaction of the two types,  the
> default null-hypothesis for population independence will not consider
> such joint first order effect in the confidence envelope. Is there a
> way to solve this issue?
>  I am currently writing a code using the rpoint() function of
> spatstat, so that points of one type or other are created through the
> provision of a intensity  surface retrieved from the joint
> distribution of the two points. This is then integrated for the
> creation of the confidence envelope. Is there something wrong with
> this approach??? Many thanks!!
>
> Enrico
> ---------------------------------------
> Enrico R. Crema
> PhD Candidate
> Institute of Archaeology, UCL
> AHRC Centre for the Evolution of Cultural Diversity, UCL
> http://www.cecd.ucl.ac.uk/people/?go1=91
> +44 7899093191
> e.crema@ucl.ac.uk
> enrico.crema@gmail.com
>
>
>
>
>
>
>
>
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