Error in grid.union(x) : Inconsistent grid resolutions.

[Kerry Kilshaw]

Hi everyone

I'm having issues over the past couple of days in carrying out mean.UD even though the script I've been using has previously been successful (with a slightly different dataset). I keep getting this error; 

"Error in grid.union(x) : Inconsistent grid resolutions"

# I have made sure I am doing this before running the models;

ctmm::projection(Segmented_2025.telemetry) <- median(Segmented_2025.telemetry)

#The models all seem to run fine and if I then estimate the AKDEs as a list that all seems to work fine and the UD.s plot out fine, and summary values etc all look good. 

#Then I try use the following script to extract models for an individual that was segmented seasonally; 

# Create EXT for Mean Calculation

Mean_EXT_2025<- extent (hrange_list_2025, level = 0.95) # all individuals

 

# Extract UD's for ASP23

ASP23_HR <- hrange_list_2025 [c("ASP23_1", "ASP23_2")] # extract segmented individuals from AKDE list

# plot uds

plot_ud(ASP23_HR) # see attached document

# The projection for both objects in the list appears to be the same for telemetry and models:

all(sapply(ASP23.telemetry, function(x) ctmm::projection(x)) ==
    sapply(ASP23_models, function(x) ctmm::projection(x)))

TRUE

# Get mean weighted by days of data

Mean_ASP23 <-mean(ASP23_HR, weights=c(74,50), sample=FALSE, EXT= Mean_EXT_2025)

 

Error in grid.union(x) : Inconsistent grid resolutions.

I can't really figure out whats going on here....  I have attached my full script FYI which uses some of the functions from ctmmweb. I am running ctmm version 1.3, R version 4.5.1 in case that makes any difference? Any suggestions welcome?!

Thanks so much, 

Kerry