GeoVisuals: a visual analytics approach to leverage the potential of spatial videos and associated geonarratives

Suphanut Jamonnak, Ye Zhao, Andrew Curtis, Shamal Al-Dohuki, Xinyue Ye, Farah Kamw, Jing Yang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Videos embedded with spatial coordinates, especially when combined with additional expert insights, offer the potential to acquire fine-scale multi-time period contextualized data for a variety of different environments. However, while these geospatial multimedia (GSMM) data include abundant spatiotemporal, semantic and visual information, the means to fully leverage their potential using a suite of visual and interactive analysis techniques and tools has thus far been lacking. In this paper, we address this gap by first identifying the types of tasks required of GSMM data, and then presenting a solution platform. This GeoVisuals system utilizes a visual analysis approach built on semantic data points that can be integrated spatially, which in turn enables management in a unified database with combined spatio-temporal and text querying. A set of visualization functions are integrated in two investigation modes: geo-video analysis and geo-location analysis.

Original languageEnglish (US)
Pages (from-to)2115-2135
Number of pages21
JournalInternational Journal of Geographical Information Science
Volume34
Issue number11
DOIs
StatePublished - Nov 1 2020

All Science Journal Classification (ASJC) codes

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

Keywords

  • Geospatial videos
  • geonarratives
  • visual analytics

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