Journal of Geographical Systems

, Volume 2, Issue 3, pp 201–220

Computing environments for spatial data analysis

  • Luc Anselin

DOI: 10.1007/PL00011455

Cite this article as:
Anselin, L. J Geograph Syst (2000) 2: 201. doi:10.1007/PL00011455


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.

Key words: Geocomputation, spatial econometrics, spatial statistics, SpaceStat
JEL classification: C87, C88, C49

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Luc Anselin
    • 1
  1. 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: