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Computing environments for spatial data analysis

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Journal of Geographical Systems Aims and scope Submit manuscript

Abstract.

This paper describes the functionality and architecture of SpaceStat, the SpaceStat Extension for ArcView and the DynESDA Extension for ArcView. It compares the features of these packages to five other software implementations for spatial data analysis. Some ideas are formulated on generic requirements and future directions pertaining to computing environments for spatial data analysis.

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Authors and Affiliations

  1. Regional Economics Applications Laboratory (REAL), and Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, 326 Mumford Hall, 1301 W Gregory Drive, Urbana IL, 61801-3608, USA (e-mail: anselin@uiuc.edu), , , , , , US

    Luc Anselin

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  1. Luc Anselin
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Anselin, L. Computing environments for spatial data analysis. J Geograph Syst 2, 201–220 (2000). https://doi.org/10.1007/PL00011455

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  • DOI: https://doi.org/10.1007/PL00011455

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