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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