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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