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Figure 3 | International Journal of Health Geographics

Figure 3

From: An unsupervised classification method for inferring original case locations from low-resolution disease maps

Figure 3

Results of reversely identifying patient addresses in Boston, Massachusetts. The green buildings are the randomly selected patient locations. The blue points are the predicted locations of the cases from the presentation quality map (50 dpi) and red points are predictions from the publication quality map (266 dpi). Proximities of the predicted to the actual location are displayed for both (A) a high density urban area and (B) a low density suburban area.

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