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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-43544

Andrienko, G; Andrienko, N; Demsar, U; Dransch, D; Dykes, J; Fabrikant, S I; Jern, M; Kraak, M J; Schumann, H; Tominski, C (2010). Space, time, and visual analytics. International Journal of Geographical Information Science, 24(10):1577-1600.

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Abstract

Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems.

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
DDC:910 Geography & travel
Language:English
Date:2010
Deposited On:26 Jan 2011 15:04
Last Modified:27 Nov 2013 20:19
Publisher:Taylor & Francis
ISSN:1365-8816
Publisher DOI:10.1080/13658816.2010.508043
Citations:Web of Science®. Times Cited: 44
Google Scholar™
Scopus®. Citation Count: 67

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