Skip to main content

Table 4 Various zero-inflated Poisson regression models validated during model selection

From: A spatially-explicit count data regression for modeling the density of forest cockchafer (Melolontha hippocastani) larvae in the Hessian Ried (Germany)

 

Model

AIC

Mixture parameter

g 1(λ i ) = β 01

9.1

7584.1

g 2(ω i ) = β 02; ω i  = 0.52

g 1(λ i ) = β 01 + f 11(DWT i )

9.2

7262.3

g 2(ω i ) = β 02; ω i  = 0.51

g 1(λ i ) = β 01 + f 11(DWT i ) + f 21(CTH i )

9.3

7217.5

g 2(ω i ) = β 02; ω i  = 0.50

g 1(λ i ) = β 01 + f 11(DWT i ) + f 21(CTH i ) + f 31(east i , north i ), edf for f 31(east i , north i ) = 28.81

9.4

5708.3

g 2(ω i ) = β 02; ω i  = 0.20

g 1(λ i ) = β 01 + f 11(DWT i ) + f 21(CTH i ) + f 31(east i , north i ),

edf for f 31(east i , north i ) = 117.35

9.5

5092.2

g 2(ω i ) = β 02; ω i  = 0.12

g 1(λ i ) = β 01 + f 11(DWT i ) + f 21(CTH i ) + f 31(east i , north i ), edf for f 31(east i , north i ) = 117.35

9.6

5051.3

g 2(ω i ) = β 02 + f 12(DWT i )

  1. Model complexity increases from model 9.1 to 9.6. The flexibility of the spatial model component increases with increasing estimated degrees of freedom (edf) of the 2-dimensional smoothing function f 3.
  2. with DWT i : simulated distance to water table in October 2007 at plot i (m); CTH i : modeled clay thickness at plot i (%); (east i , north i ): Gauß-Krüger east and north coordinates of plot i defined in relation to the 3rd meridian.