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Demšar, Urška, Fotheringham, Stewart and Charlton, Martin (2007) Employing a geovisual exploratory post-analysis for interpretation of results of a spatial statistical method. In: “From geovisualization toward geovisual analytics”, meeting of the ICA Commission on Visualization and Virtual Environments, August 2007, Helsinki, Finland.
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Abstract
Traditional regression analysis describes a modelled relationship between a dependent
variable and a set of independent variables. When applied to spatial data, the regression
analysis often assumes that the modelled relationship is stationary over space and
produces a global model that is supposed to describe the relationship at every location in
the study area. This can be misleading, as the relationships in spatial data are often
intrinsically different across space. One of the spatial statistical methods that attempts to
solve this problem and explain local variation in complex relationships is Geographically
Weighted Regression – GWR (Fotheringham et al. 2000).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | geovisual exploratory post-analysis; interpretation of results; spatial statistical method; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
| Item ID: | 5820 |
| Depositing User: | Martin Charlton |
| Date Deposited: | 11 Feb 2015 14:46 |
| Refereed: | Yes |
| URI: | https://mu.eprints-hosting.org/id/eprint/5820 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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