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Cited by 438

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Geovisual analytics for spatial decision support: Setting the research agenda

Open access
Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M.‐J., MacEachren, A., Wrobel, S.·2007·International Journal of Geographical Information Science

Abstract

This article summarizes the results of the workshop on Visualization, Analytics & Spatial Decision Support, which took place at the GIScience conference in September 2006. The discussions at the workshop and analysis of the state of the art have revealed a need in concerted cross‐disciplinary efforts to achieve substantial progress in supporting space‐related decision making. The size and complexity of real‐life problems together with their ill‐defined nature call for a true synergy between the power of computational techniques and the human capabilities to analyze, envision, reason, and deliberate. Existing methods and tools are yet far from enabling this synergy. Appropriate methods can only appear as a result of a focused research based on the achievements in the fields of geovisualization and information visualization, human‐computer interaction, geographic information science, operations research, data mining and machine learning, decision science, cognitive science, and other disciplines. The name ‘Geovisual Analytics for Spatial Decision Support’ suggested for this new research direction emphasizes the importance of visualization and interactive visual interfaces and the link with the emerging research discipline of Visual Analytics. This article, as well as the whole special issue, is meant to attract the attention of scientists with relevant expertise and interests to the major challenges requiring multidisciplinary efforts and to promote the establishment of a dedicated research community where an appropriate range of competences is combined with an appropriate breadth of thinking.

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Metadata

Authors
Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M. ‐., MacEachren, A., & Wrobel, S.
Venue
International Journal of Geographical Information Science
Published
2007-09
Volume
21
Issue
8
Pages
839-857
ISSN
  • 0269-3798 (ISSN-L)
  • 1365-8816
  • 1362-3087
OpenAlex
W2171671453
Cited by
438
References
38
FWCI
26.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Geovisual analytics for spatial decision support: Setting the research agenda. https://app.cochat.ai/papers/10.1080/13658810701349011
The paper
Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M. ‐., MacEachren, A., & Wrobel, S. (2007). Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science. https://doi.org/10.1080/13658810701349011

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.