Metadata and provenance for spatial analysis: the case of spatial weights

Luc Anselin, Sergio J. Rey, WenWen Li

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Within a CyberGIS environment, the development of effective mechanisms to encode metadata for spatial analytical methods and to track the provenance of operations is a key requirement. Spatial weights are a fundamental element in a wide range of spatial analysis methods that deal with testing for and estimating models with spatial autocorrelation. They form the link between the data structure in a GIS and the spatial analysis methods. Over time, the number of formats for spatial weights implemented in software has proliferated, without any standard or easy interoperability. In this paper, we propose a flexible format that provides a way to ensure interoperability within a cyberinfrastructure environment. We illustrate the format with an application of a spatial weights web service, which is part of an evolving spatial analytical workbench. We describe an approach to embed provenance in spatial weights structures and illustrate the performance of the web service by means of a number of small experiments.

Original languageEnglish (US)
Pages (from-to)2261-2280
Number of pages20
JournalInternational Journal of Geographical Information Science
Volume28
Issue number11
DOIs
StatePublished - Nov 2 2014

Keywords

  • CyberGIS
  • GIScience
  • metadata
  • provenance
  • spatial analysis
  • spatial weights

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

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