The increased availability of digital spatial data combined with improved capabilities of Geographic Information Systems (GIS) have allowed for the development of several global population distribution databases, such as the GPW, and LandScan. Making population distribution data available as a high-resolution raster database which facilitates rapid GIS analysis at the local level and for any zoning. Due to the complex nature of population as a geographical variable, several approaches have been adopted to estimate their spatial distribution, including statistical modeling, surface modeling, and cartographic methods. However, many of these methods require assumptions that oversimplify the reality or disaggregate population totals based on the heuristic or empirical parameters. Recently, critical voices were heard, questioning the quality and usability of gridded population data.
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Ola Hall (2012) studied this question.
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