A Proposed Method for Spatial Data Disaggregation and Interpolation.
The Model for External Reliance of Localities in (MERLIN) Coastal Management Zones is a proposed solution to allow scaling of variables to smaller, nested geographies. Using a principal components analysis and data normalization techniques, smaller scale data relationships are linked to data relatio...
| Publicado en: | Professional Geographer Vol. 69; no. 1; pp. 70 - 80 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Feb2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=119333972&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 119333972 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00330124 PGG jtl: Professional Geographer issn: 00330124 maglogo: Y pubinfo: dt: Feb2017 vid: 69 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 119333972 10.1080/00330124.2016.1158116 ppf: 70 ppct: 10 formats: tig: atl: A Proposed Method for Spatial Data Disaggregation and Interpolation. aug: au: Buck, Kyle D. affil: USEPA/ORD/NHEERL, Gulf Ecology Division su: Scaling (Social sciences) Interpolation Coastal zone management Spatial data structures Geographic information systems sug: subj: Scaling (Social sciences) Interpolation Coastal zone management Spatial data structures Geographic information systems keyword: data interpolation Florida nested geographies principal components analysis scaling análisis de componentes principales análisis de componentes principales escalar geografías anidadas geografías anidadas interpolación de datos interpolación de datos data interpolation Florida nested geographies principal components analysis scaling análisis de componentes principales análisis de componentes principales escalar geografías anidadas geografías anidadas interpolación de datos interpolación de datos ab: The Model for External Reliance of Localities in (MERLIN) Coastal Management Zones is a proposed solution to allow scaling of variables to smaller, nested geographies. Using a principal components analysis and data normalization techniques, smaller scale data relationships are linked to data relationships within larger geographies and scaling factors are developed for each. In using these relationships, MERLIN will derive a set of variables scaled to a desired geography representing the attributes of the population present. The concept driving MERLIN's development is that correlations between variables at a specific location and level of geography can be tested and applied to other scales for interpolations. This flexibility and relative simplicity of calculation make MERLIN a valuable tool in many types of social research and for data interpolation. In a pilot study, the MERLIN model is applied to counties along the Gulf Coast of Florida to create a well-being index at the census tract level. Results reveal a landscape that better accounts for the localized patterns of values situated within a larger geographic unit. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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