Space, time and visual analytics

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), pp. 1577-1600. doi: 10.1080/13658816.2010.508043

[img]
Preview
PDF
Download (3MB) | Preview

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: Article
Uncontrolled Keywords: Science & Technology, Social Sciences, Technology, Physical Sciences, Computer Science, Information Systems, Geography, Geography, Physical, Information Science & Library Science, Computer Science, Physical Geography, geovisualisation, research agenda, spatio-temporal data, users, CONCEPTUAL-FRAMEWORK, VISUALIZATION, DYNAMICS, AGENDA
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Divisions: School of Informatics > giCentre
URI: http://openaccess.city.ac.uk/id/eprint/2853

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics