mixed model?
Dear all, I'm analysing bird presence/absence in 16 grassland fields over 4 seasons (different years) and want to know the effect of grass height and forest cover on presence/absence of the species. Grass height varied among season but not forest cover in each field. So we have a spatial dimension and a time dimension. I tried a binomial glm but wonder if I should use generalized linear mixed models with field identity as the random as I have repeated measures (bird counts) in each field. I appreciate your opinion. Thanks in advanced, Joaquin Aldabe.
*Joaqu?n Aldabe* *Grupo Biodiversidad, Ambiente y Sociedad* Centro Universitario de la Regi?n Este, Universidad de la Rep?blica Ruta 15 (y Ruta 9), Km 28.500, Departamento de Rocha *Departamento de Conservaci?n* Aves Uruguay BirdLife International Canelones 1164, Montevideo https://sites.google.com/site/joaquin.aldabe <https://sites.google.com/site/perfilprofesionaljoaquinaldabe> [[alternative HTML version deleted]]