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dc.contributor.authorReckien, D.
dc.date.accessioned2020-02-18T02:33:34Z-
dc.date.available2020-02-18T02:33:34Z-
dc.date.issued2018
dc.identifier.citationRegional Environmental ChangeVol 18, pp.1439 – 1451
dc.identifier.issn1436-3798
dc.identifier.urihttp://tailieuso.tlu.edu.vn/handle/DHTL/5176-
dc.description.abstractThis study investigates the outcome of the variable addition—both with and without weighting of single vulnerability factors—and the variable reduction approach/model on social vulnerability indices calculated for New York City. Weighting is based on scientific assessment reports on climate change impacts in New York City. Additionally, the study calculates the outcome on social vulnerability when using either area-based (person/km2 ) or population-based (%) input data. The study reveals remarkable differences between indices particularly when using different methods but also when using different metrics as input data.
dc.description.urihttps://link.springer.com/content/pdf/10.1007%2Fs10113-017-1273-7.pdf
dc.languageeng
dc.subjectNew York City
dc.subjectPrincipal component analysis
dc.subjectVariable reduction approach
dc.subjectVariable addition/additive approach
dc.subjectIndex/indices construction
dc.subjectSocial vulnerability mapping
dc.titleWhat is in an index? : Construction method, data metric, and weighting scheme determine the outcome of composite social vulnerability indices in New York City
dc.typeBB
dc.date.update20191217170318.0
dc.date.submitte130605s2018
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