Re: [R-sig-Geo] Spatial filtering with glm with grid sampling

I had no idea this was coming up - can't believe it didn't come up in any of my searches. Looks super useful, and I'm sure I'll be using it sooner than later, whether on this analysis or not. The worked example is ridiculously useful - so glad to have it. If I'm reading the help page correctly

Re: [R-sig-Geo] Spatial filtering with glm with grid sampling

What other GLMM options do I have, under the restrictions of count data with lots of zeroes and spatial autocorrelation? I was under the impression that glmmPQL was my only choice? On Thu, Jan 11, 2018 at 8:18 AM, Roger Bivand wrote: > On Thu, 11 Jan 2018, Sima Usvyatsov

Re: [R-sig-Geo] Spatial filtering with glm with grid sampling

On Thu, 11 Jan 2018, Sima Usvyatsov wrote: Thank you so much for your response. Yes, I managed to muck up the fake data in 2 (!) ways - the 1,000 lons and the fact that the lon/lats weren't repeated. Here's the correct structure. df <- data.frame(Loc = as.factor(rep(1:20, each = 5)), Lat =

Re: [R-sig-Geo] Spatial filtering with glm with grid sampling

On Wed, 10 Jan 2018, Sima Usvyatsov wrote: Hello, I am running a negative binomial model (MASS) on count data collected on a grid. The dataset is large - ~4,000 points, with many predictors. Being counts, there are a lot of zeroes. All data are collected on a grid with 20 points, with high