Scientific visualisation and the exploratory analysis of area data.
The writers discuss scientific visualization and the exploratory analysis of area data, paying particular attention to the growing number of software packages that provide visualization methods to support exploratory spatial data analysis (ESDA). The data in the exploratory analysis of nonspatial d...
| Publicado en: | Environment & Planning A Vol. 31; no. 10; pp. 1825 - 1839 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Pion Limited
October 1999
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| Materias: | |
| 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=512886414&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 512886414 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0308518X EPL jtl: Environment & Planning A issn: 0308518X maglogo: N pubinfo: dt: October 1999 vid: 31 iid: 10 pid: 1065 pub: Pion Limited artinfo: ui: 512886414 10.1068/a311825 ppf: 1825 ppct: 14 formats: tig: atl: Scientific visualisation and the exploratory analysis of area data. aug: au: Wise, S. Haining, Robert P. Signoretta, P. su: Geography -- Methodology Geography -- Statistical methods Statistical software sug: subj: Geography -- Methodology Geography -- Statistical methods Statistical software ab: The writers discuss scientific visualization and the exploratory analysis of area data, paying particular attention to the growing number of software packages that provide visualization methods to support exploratory spatial data analysis (ESDA). The data in the exploratory analysis of nonspatial data are often thought to consist of both rough and smooth elements, so it can be argued that a software system for ESDA should have facilities for exploring the rough and smooth elements of both the spatial and nonspatial elements of the data. There is a need to examine the effectiveness of various visualization techniques in encouraging and supporting the exploratory analysis of spatial data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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