I wish to analyse an inhomogeneous and univariate point data pattern in R, using the O-Ring statistic described here by Wiegand and Moloney (2004) http://www.oesa.ufz.de/towi/towi_programita.html#ring My query therefore differs to https://stat.ethz.ch/pipermail/r-help/2005-December/084280.html who was interested in bivariate data. I would also like to visualise the output in a similar way to the Ripley-K/L statistic. Is there anyway to alter the Linhom function from spatstat to use O-Ring, or alter the code on the above forum post to solve my problem please? Any help much appreciated. [[alternative HTML version deleted]]
Hi J Ely, This would very much depend on how an O-ring statistic for inhomogeneous point patterns is defined. The formula in Wiegand and Moloney (2004), O(r)=g(r)*lambda, straightforwardly only makes sense for a homogeneous pattern, where the intensity lambda is a constant. Is there an "official" definition of O(r) for inhomogeneous point patterns out there? Cheers, Ute -- View this message in context: http://r.789695.n4.nabble.com/Inhomogeneous-univariate-O-Ring-Statistic-tp4668128p4670479.html Sent from the R help mailing list archive at Nabble.com.