Evaluating multi-season occupancy models with autocorrelation fitted to heterogeneous datasets
Researchers tested multi-season occupancy models that include spatial and temporal autocorrelation to predict species distribution. The models proved robust against complex data, but they still face issues with parameter identification and severe contamination from data gaps in real-world scenarios.