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Title: Spatial Projections of Age-Structured Populations
Citation Type: Conference Paper
Publication Year: 2018
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Abstract: Understanding vulnerability to the consequences of anthropogenic climate change as well as societies’ adaptive capacity is not only a matter of understanding the atmospheric circumstances under which extreme weather events turn into natural disasters. One also needs to study the factors “on the ground” that co-determine risk. Depending on the type of calamity, these may in large part be geographical, i.e. a matter of where you are, but also social, i.e. a matter of who you are within a society. Research on differential vulnerability to natural disasters suggests a strong heterogeneity in both the spatial and social dimension (Pichler and Striessnig 2013; R. Muttarak and Jiang 2016; Striessnig and Loichinger 2016). In addition to that, sociodemographic factors interact with the spatial dimension and have different effects on the individual, the local community and the societal level (Raya Muttarak, Lutz, and Jiang 2016). Therefore, in order to increase the accuracy of future scenario-based impact assessments, not only with regard to environmental threats, but the propensity and general likelihood of global change more generally, spatial population projections that include relevant sociodemographic characteristics are needed.
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Authors: Striessnig, Erich; Gao, Jing; O'Neill, Brian; Jiang, Leiwen
Conference Name: Annual Meeting of the PAA 2018
Publisher Location: Denver, CO
Data Collections: IPUMS NHGIS
Topics: Land Use/Urban Organization, Methodology and Data Collection, Population Mobility and Spatial Demography
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