Dear R users,

 

I have count data that illustrates the presences or absence of
individuals in my study population. I created a grid of cells across the
study area and calculated a count value for each individual per season
per year for each cell. The count value is the number of times an
individual was present in each cell.

 

My data is set up with the cell ID repeated for each individual per
season per year. This format results in 71,000 records (of which 925
have a count value >0 and 70,075 have a count value = 0). I would like
to run mixed effects model with individual and year as random effects
but I have been advised two things:

 

1.      The data are too extremely zero inflated therefore a zero
inflated Poisson model will not work.

2.      The model cannot be run because the grid cells are repeated for
each individual per season per year. I am told the model doesn't
recognize that Cell ID #1 for individual "A" is the same cell for Cell
ID #1 for individual "B".

 

Does anyone know if either or both of these points are true? Also, does
anyone have any recommendations.

 

Thank you,

 

-Stephanie

 

 

-------------------------------------------------------

Stephanie L. Simek

Carnivore Ecology Lab

Forest and Wildlife Research Center

Mississippi State University

Box 9690

Mississippi State, MS 39762

Cell: (850) 591-1430

Email: ssimek@cfr.msstate.edu




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