A brute force method for spatially-enhanced multivariate facet analysis

Anthony C. Robinson, Sterling D. Quinn

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Faceted search is a common approach for helping users query multivariate data. While the method is found widely in contemporary tools, so far there has been little exploration of its potential to incorporate a spatial perspective. In this article we extend multivariate faceted search through the application of a brute force computational process to reveal facet combinations that have spatially-interesting results. We explore the potential utility of spatially-enhanced facet combinations in case study analyses of multivariate spatial data from learners in a massive open online course and multivariate spatial data from restaurant inspections. Spatially-enhanced facet combinations improve on ordinary faceted search by helping analysts understand which combinations have significant spatial footprints. We also show how this method can be integrated into a geovisual analytics system through a simple user interface. Finally, we draw on our case study analyses to highlight important challenges and opportunities for future research.

Original languageEnglish (US)
Pages (from-to)28-38
Number of pages11
JournalComputers, Environment and Urban Systems
Volume69
DOIs
StatePublished - May 1 2018

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spatial data
multivariate analysis
footprint
user interface
analysis
method
inspection

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Ecological Modeling
  • Environmental Science(all)
  • Urban Studies

Cite this

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A brute force method for spatially-enhanced multivariate facet analysis. / Robinson, Anthony C.; Quinn, Sterling D.

In: Computers, Environment and Urban Systems, Vol. 69, 01.05.2018, p. 28-38.

Research output: Contribution to journalArticle

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