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Computing environments for spatial data analysis

Journal of Geographical SystemsPublished 19 September 2000
Luc Anselin
Citations78
SJR quartileQ1
SJR score0.86
SNIP1.47

TL;DR

The functionality and architecture of SpaceStat, the SpaceStat Extension forArcView and the DynESDA Extension for ArcView are described and some ideas are formulated on generic requirements and future directions pertaining to computing environments for spatial data analysis.

Abstract

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.

Keywords

MedicineEconomics, Econometrics and Finance