Hello everyone, My data consists of marked points and several covariates, whereby the marks are the time points of the observations. The problem is, that one of the covariates is hard to handle as an image. This covariate represents the type of roads. As there aren't roads at every location of the map, one cannot specify the value of the covariate at any point on a grid, which is necessary to specify an image. To tackle this, I wanted to use a quadrature scheme and use points on the roads as dummy points instead of a data point pattern as the outcome variable. The problem I now encounter is, that I can't give marks to the dummy points, since they are no "real" observations (and omitting the marks gives an error). Does somebody know, what to do in such a situation?
Thank you very much in advance! Any tips are appreciated much! Regards Roman -- View this message in context: http://r.789695.n4.nabble.com/fit-a-marked-poisson-process-using-a-quadrature-scheme-with-spatstat-tp3481480p3481480.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
