Titlebook: Advances in Geocomputation; Geocomputation 2015- Daniel A. Griffith,Yongwan Chun,Denis J. Dean Conference proceedings 2017 Springer Interna

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https://doi.org/10.1007/978-1-4842-1931-7ment need to be complemented by broad-scale demographic data having high spatial resolution. Although such data are available for many parts of the world, there are none available for the United States. Here we report on our ongoing project to develop high-resolution (30–90 m/cell) population/demogr

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Legitimacy: A Contested Concept,nergy consumption patterns has become increasingly important. Though current modeling efforts mark significant progress in the effort to better understand the spatial distribution of energy consumption, the majority of techniques are highly dependent on region-specific data sources and often require

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https://doi.org/10.1007/978-3-030-85879-7 building technologies, public safety, and natural hazards loss analytics. While much has been gained in using survey diaries, sensor technologies, and dasymetric modeling, the volume and velocity of social media data provide a unique opportunity to measure and model occupancy patterns with unpreced

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https://doi.org/10.1007/978-1-4842-7866-6ured the attention of GIS researchers in the recent past. Furthermore, developments in free tools, such as Google Map API and OpenStreetMap, provide easy access to geospatial data that can be leveraged by visual analytics. In this chapter, we propose such a system that utilizes free GIS APIs to visu

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https://doi.org/10.1007/978-1-4842-7866-6 the allocation of resources and personnel needed in case of an emergency caused by a disaster. In practice, however, vulnerable population groups, such as people with disability, tend to be overlooked by emergency officials. Tasks such as identifying people who are vulnerable in an emergency genera

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https://doi.org/10.1007/978-1-137-06460-8 such as military, surveillance, photography, and entertainment. Delivery service for small products is one of their potential applications, and optimal path planning is essential for operational efficiency of such a delivery service. Because a drone’s movement is not limited to existing transportat

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