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There is a critical need for advanced geospatial decision-making tools for countless geospatial applications, such as urban planning, emergency response, military intelligence, simulator training, and serious gaming. With the abundance of available geospatial data - such as satellite and aerial imagery - the most effective approach to geospatial decision-making is through sophisticated virtualization. An ideal application designed to formulate and evaluate decision-making questions should contain realistic modeling, a host of geotagged and time-stamped data sets, and efficient presentation of a basic set of spatiotemporal queries on top of the information-rich virtual geolocation.
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Shahabi et al. (2010) studied this question.
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