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Table 2 Model validation summary for the spatial (s) and non-spatial (ns) models

From: Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)

Model

CI (width)

KL

χ2

Linear (ns)

60% (0.58)

21.49

4867

Linear (s)

50% (0.59)

22.58

4459

Categorical (ns)

60% (0.69)

30.81

6943

Categorical (s)

60% (0.68)

30.33

6143

P-spline (ns)

60% (0.61)

23.11

8194

P-spline (s)

65% (0.61)

22.29

7417

B-spline (ns)

70% (0.72)

27.59

26698

B-spline (s)

70% (0.72)

28.85

26846

  1. Comparison of Bayesian credible intervals (CI) of 95% probability coverage with their corresponding width, Kullback-Leibler divergences (KL) and the χ2-test analogue on 20 test locations.