PRIO-GRID: A unified spatial data structure.
Contributions to the quantitative civil war literature increasingly rely on geo-referenced data and disaggregated research designs. While this is a welcome trend, it necessitates geographic information systems (GIS) skills and imposes new challenges for data collection and analysis. So far, solution...
| Publicado en: | Journal of Peace Research Vol. 49; no. 2; pp. 363 - 375 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Mar2012
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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=74192804&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 74192804 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00223433 JPR jtl: Journal of Peace Research issn: 00223433 maglogo: Y pubinfo: dt: Mar2012 vid: 49 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 74192804 10.1177/0022343311431287 ppf: 363 ppct: 12 formats: tig: atl: PRIO-GRID: A unified spatial data structure. aug: au: Tollefsen, Andreas Forø Strand, Håvard Buhaug, Halvard affil: andreas@prio.no su: Population density Economic activity Social science research methods Spatial data structures Standards Geographic information systems Grids (Cartography) Geodatabases Grid computing Research methodology evaluation sug: subj: Population density Economic activity Social science research methods Research and Development in the Social Sciences and Humanities Spatial data structures Standards Geographic information systems Grids (Cartography) Geodatabases Grid computing Research methodology evaluation keyword: civil war data disaggregation geography GIS grid civil war data disaggregation geography GIS grid ab: Contributions to the quantitative civil war literature increasingly rely on geo-referenced data and disaggregated research designs. While this is a welcome trend, it necessitates geographic information systems (GIS) skills and imposes new challenges for data collection and analysis. So far, solutions to these challenges differ between studies, obstructing direct comparison of findings and hampering replication and extension of earlier work. This article presents a standardized structure for storing, manipulating, and analyzing high-resolution spatial data. PRIO-GRID is a vector grid network with a resolution of 0.5 x 0.5 decimal degrees, covering all terrestrial areas of the world. Gridded data comprise inherently apolitical entities; the grid cells are fixed in time and space, they are insensitive to political boundaries and developments, and they are completely exogenous to likely features of interest, such as civil war outbreak, ethnic settlement patterns, extreme weather events, or the spatial distribution of wealth. Moreover, unlike other disaggregated approaches, gridded data may be scaled up or down in a consistent manner by varying the resolution of the grid. The released dataset comes with cell-specific information on a large selection of political, economic, demographic, environmental, and conflict variables for all years, 1946–2008. A simple descriptive data assessment of population density and economic activity is offered to demonstrate how PRIO-GRID may be applied in quantitative social science research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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