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. 2013 Jan 17;9(1):e1002801. doi: 10.1371/journal.pcbi.1002801

Figure 4. Spatial autocorrelation of data simulated with the Gaussian Field Latent Class model of Triatoma infestans distribution.

Figure 4

The autocorrelation of infestation in the generated data is compared to the autocorrelation in observed data. Infestation data were generated on the validation map using the estimated parameters for each of the kernels: exponential (first column), Cauchy (second column), Gaussian (third column), and geometric (fourth column). We calculated the standard Moran's I (first row) and the difference Inline graphic between within block and across street autocorrelation (second row) as a function of distance. The solid line indicates the values for the observed data. Box plots indicate the values obtained from generated data. The boxes indicate the Inline graphic, Inline graphic and Inline graphic quantiles, and the whiskers depict the 95% CrI.