[R-sig-Geo] Mark variograms: 3D(xyt) points + 1D marks
mochud|t|m @end|ng |rom hotm@||@com
Sat May 11 18:11:37 CEST 2019
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.
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.
From: Edzer Pebesma <edzer.pebesma using uni-muenster.de>
Sent: 10 May 2019 13:18
To: r-sig-geo using r-project.org
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.
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
> R-sig-Geo using r-project.org
Institute for Geoinformatics
Heisenbergstrasse 2, 48151 Muenster, Germany
Phone: +49 251 8333081
[[alternative HTML version deleted]]
More information about the R-sig-Geo