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Table 2 Comparison of distance-based autocorrelation structures for Poisson GLMM regression using exponential, Gaussian and spherical functions

From: A poisson regression approach for modelling spatial autocorrelation between geographically referenced observations

Model Parameter Goodness of fit method
  Nugget Partial sill Range -2Log- Likelihood AIC BIC
Exponential distance-based 0.38 3.20 427.7 380.9 390.9 392.9
Gaussian distance-based 0.45 1.21 224.6 373.4 370.5 362.1
Spherical distance-based 0.40 1.65 380.5 381.5 387.5 386.5