Paper Using Spatial Analysis for Nonspatial Data

Author: L. John Old
Organization: Indiana University

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jold@indiana.edu

Information that has relationships between elements may be represented spatially, particularly if some distance metric can be brought to bear Using multidimensional scaling to assign x,y coordinates, nonspatial data may be imported into ArcView GIS as tabular data, then added to a view as an event theme (point features). Spatial analysis may then be used to facilitate graphical representation of the data and to highlight information previously opaque. This paper discusses the analysis method using examples from research in lexical semantic analysis and author cocitation analysis.