Seamless integration of spatial statistics and GIS: The S-PLUS for ArcView and the S+Grassland Links

Shuming Bao, Luc Anselin, Doug Martin and Diana Stralberg
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Shuming Bao: University of Michigan, Suite 3630, 1080 S. University Ave., Ann Arbor, MI 48109-1106, USA (e-mail: sbao@umich.edu)
Luc Anselin: University of Illinois at Urbana-Champaign, 326 Mumford Hall, Urbana IL, 61801-3608, USA (e-mail: anselin@uiuc.edu)
Doug Martin: MathSoft, Inc., 1700 Westlake Ave N., Seattle, WA 98109-3044, USA
Diana Stralberg: University of Michigan, Suite 3630, 1080 S. University Ave., Ann Arbor, MI 48109-1106, USA (e-mail: sbao@umich.edu)

Journal of Geographical Systems, 2000, vol. 2, issue 3, 287-306

Abstract: Abstract. The extension of the functional capacity of geographic information systems (GIS) with tools for statistical analysis in general and exploratory spatial data analysis (ESDA) in particular has been an increasingly active area of research in recent years. In this paper, two operational implementations that combine the functionality of spatial data analysis software with a GIS are considered more closely. They consist of linkages between the S-PLUS software for data analysis and two different GIS implementations, the ArcView desktop system, which is mostly vector-oriented, and the primarily raster-based Grassland open GIS environment. We emphasize conceptual and technical issues related to the software implementation of these approaches and suggest future directions for linking spatial statistics and GIS.

Keywords: Key words: ESDA; S-PLUS; ArcView; Grassland; spatial statistics; JEL classification: C60; C63; C88 (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1007/PL00011459

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