On 5/11/19 6:11 PM, Tim Pollington wrote: > Thank you Edzer for your suggestion however I'm trying to avoid > geostatistical methods because my data is disease cases recorded at > household locations. Therefore strictly speaking there is not a random > field that pervades the space between the households and so I must treat > it as a spatiotemporal marked point process instead. I attemping to > extend Stoyan et al's mark variograms for ST > processes https://www.sciencedirect.com/science/article/pii/S2211675317300696 > to > my data.
Regrettably (an ironically, as an associate editor) I have no longer access to that journal. Did you contact the authors of the paper whether they have software they're willing to share? > > Hopefully I'll have gotten a bit further by July so perhaps I can show > you more if you're attending Spatial Statistics in Sitges. Looking forward to that! > > Kind regards, > > Tim. > ------------------------------------------------------------------------ > *From:* Edzer Pebesma <[email protected]> > *Sent:* 10 May 2019 13:18 > *To:* [email protected] > *Subject:* Re: [R-sig-Geo] Mark variograms: 3D(xyt) points + 1D marks > > No, but you can model them as a function of space and time, see e.g. > https://journal.r-project.org/archive/2016/RJ-2016-014/index.html > > On 5/10/19 12:53 PM, Tim Pollington wrote: >> On reflection please ignore my question. One can't construct an xyt >> variogram with additional marks as one can't define a proper distance in an >> xyt space as different units are involved. >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> R-sig-Geo mailing list >> [email protected] >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> > > -- > Edzer Pebesma > Institute for Geoinformatics > Heisenbergstrasse 2, 48151 Muenster, Germany > Phone: +49 251 8333081 -- Edzer Pebesma Institute for Geoinformatics Heisenbergstrasse 2, 48151 Muenster, Germany Phone: +49 251 8333081
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