[R-sig-Geo] Mark variograms: 3D(xyt) points + 1D marks

[Tim Pollington]

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.

Kind regards,

Tim.
________________________________
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.
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.
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--
Edzer Pebesma
Institute for Geoinformatics
Heisenbergstrasse 2, 48151 Muenster, Germany
Phone: +49 251 8333081

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