空間データ分析と地理情報システム [in Japanese] Spatial Data Analysis in GIS Environment [in Japanese]
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This paper discusses a number of general issues and new trends of spatial data analysis in the GIS environment and focuses on two kinds of spatial data analysis, <I>i. e</I>., exploratory and confirmatory data analysis. The exploratory data analysis is the most common approach in GIS and has taken different forms. In an exploratory data analysis, data are used in an inductive fashion to gain new insights. On other hand, a confirmatory data analysis is a traditional approach, and uses spatial statistics and quantitative geographical methods in a GIS environment. In particular, spatial statistics are more general than statistics for non-spatial information, because they require access not only to attributes (non-spatial information), but also to locational and topological information. Recently, spatial interpolation has become a major function of many GIS. In this paper, two forms of spatial interpolation, the interpolation of point and areal data, are distinguished and reviewed.<BR>A series of methods that link spatial data analysis modules with GIS are outlined and how the linkage should be made in practice is discussed. Two types of linkage are distinguished in this area. The first is an interface type, which involves interfacing spatial data analysis modules via macro languages provided by the GIS. The second type integrates GIS with spatial data analysis software, which involves file transfers between the GIS and other software. This paper also reviews directions for future research on GIS applications and there is a conviction that the future success of GIS technology will depend to a large extent on incorporating more powerful analytical and modelling capabilities.
- J. Geogr.
J. Geogr. 109(1), 1-9, 2000-02-25
Tokyo Geographical Society