I have constructed a GAM using the package mgcv to test whether the lengths of
an emerging insect (Length) varies with day of the year (DOY) and between two
sites (SiteCode). The data are collected at irregular time steps ranging from 2
days to 20 days between samples. The GAM takes the form
M3 <- gam(Length ~s(DOY, by = SiteCode) + SiteCode)
As the data are a time series I would like to test for temporal
autocorrelation. I have read that it is not possible to use the autocorrelation
function (ACF) due to the irregular spacing and that producing a variogram in
relation to DOY would be an option.
Is this a correct method to test for temporal autocorrelation?
And could someone suggest the code to produce the variogram as I'm getting an
error related to the 'distance' argument
Best wishes
Tom
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