Visualizing geo-spatial data in science, technology and innovation

Jan H. Kwakkel, Stephen Carley, John Chase, Scott W. Cunningham

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

This paper provides a range of alternatives for analysts when dealing with geo-spatial data addressing activities in science, technology and innovation. There are two sets of theory which frame the debate concerning science, technology and innovation, and which drive further methodological advancements. The power of a good visualization in providing insight to decision-makers is well known. Visualizations complete a full cycle of decision-making involving analysis, design, action and then further monitoring. We advance the paper by assessing available geographic information in science and technology databases. The paper then systematically outlines current best practices and alternatives for visualizing geographic data. Different geographic map options provide different possibilities for the display of data. We show some of these options in the paper. Future research is needed into both the available tools and techniques, as well as a more in depth specification of the kinds of decision support needs that exist and have a geo-spatial component.
Original languageEnglish
Pages (from-to)67-81
Number of pages15
JournalTechnological Forecasting and Social Change
Volume81
Early online date23 Oct 2012
DOIs
Publication statusPublished - 31 Jan 2014

Keywords

  • tech mining
  • geo-visualization
  • technological forecasting

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