[R-sig-Geo] Mark variograms: 3D(xyt) points + 1D marks
Edzer Pebesma
edzer@pebe@m@ @end|ng |rom un|-muen@ter@de
Sun May 12 22:04:39 CEST 2019
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 <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.
>>
>> [[alternative HTML version deleted]]
>>
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>
> --
> 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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