Question about potential implementation of spatially aggregated LGCP (Li et al 2012)

[Matthew Gonnerman]

Hello,

I am exploring options for implementing the model described in Li et al 2012 (https://doi.org/10.1177/0962280212446326) within INLA. If I understand correctly, the original model was implemented in an MCMC framework to allow for the variable placement of disease incidence in a sampling region using a multinomial distribution, to account for the lack of exact location information.

I was wondering if this step could be similarly achieved by calculating the count per grid cell as described in Li et al (Count/intersections), and then applying the "xpoisson" family instead of the "poisson" to account for the resulting non-integer response? This would similarly spread the potential incidence of disease across the sampling area, but I was unsure if the change in data augmentation/distribution choice would violate assumptions of the LGCP.

I appreciate any guidance, thank you!

Matt

[INLA help]

Please take a look at

https://arxiv.org/abs/2502.10584

And other reports by Finn.L.

Which I think is what you want. Otherwise,  there are works by 

https://arxiv.org/search/?query=Paula+Moraga&searchtype=all&source=header

On disaggregation.

—

Haavard Rue

HelpDesk 

help@r-inla. org

--
You received this message because you are subscribed to the Google Groups "R-inla discussion group" group.
To unsubscribe from this group and stop receiving emails from it, send an email to r-inla-discussion...@googlegroups.com.
To view this discussion, visit https://groups.google.com/d/msgid/r-inla-discussion-group/96070496-ab07-4430-a944-440b5f737b9cn%40googlegroups.com.