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Table 4 Comparison between global regression and GWR model

From: Spatially variable risk factors for malaria in a geographically heterogeneous landscape, western Kenya: an explorative study

Variable

GLR

GWR

AIC

−40.86

−43.18

Moran’s I

0.45; p = 0.21

0.23; p = 0.25

R2

0.268

0.694

Residual sum of squares

2.53

0.985

−2 Log likelihood

−50.86

−127.26

  1. Model fit is compared with AIC, explanatory power of the models is compared by R2 and the Moran’s I of residuals indicates the degree of spatial autocorrelation