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Fig. 6 | Conflict and Health

Fig. 6

From: Beyond mapping: a case for geospatial analytics in humanitarian health

Fig. 6

a (top). First stage of a population-based cluster sample using ArcGIS and LandScan, a gridded population dataset, Galway, et al. The main image frame (top) shows a LandScan (Oak Ridge National Laboratory) satellite image of Iraq with population density by square kilometer. The inset to the right amplifies these pixels of population density highlighting the more densely urbanized area of Baghdad. For sampling purposes, a population researcher can randomly select areas based on population dispersion. b (bottom). Second stage of sampling using ArcGIS grids on Google Earth kml files, Galway, et al. At the household sampling level, superimposed grids are randomly sampled using Google Earth imagery. Terms of use for both figures: this work is licensed under Creative Commons Attribution License 4.0 and used unedited. Attributed to Galway, et al., Intl J Health Geogr, 2012; original version at: https://ijhealthgeographics.biomedcentral.com/articles/10.1186/1476-072X-11-12

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