What-why analysis of expert interviews

analysing geographically-embedded flow data

Yalong Yang, Sarah Goodwin

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

In this paper, we present our analysis of five expert interviews, each from a different application domain. Such analysis is crucial to understanding the real-world scenarios of analysing geographically-embedded flow data. The results of our analysis show that similar high-level tasks were conducted in different domains. To better describe the targets of these tasks, we proposed three flow-targets for analysing geographically-embedded flow data: single flow, total flow and regional flow.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019
Subtitle of host publication23-26 April 2019 Bangkok, Thailand
EditorsRoss Maciejewski, Jinwook Seo, Rüdiger Westermann
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages122-126
Number of pages5
ISBN (Electronic)9781538692264
DOIs
Publication statusPublished - 1 Apr 2019
EventIEEE Pacific Visualization Symposium 2019 - Bangkok, Thailand
Duration: 23 Apr 201926 Apr 2019
Conference number: 12th
http://research.cbs.chula.ac.th/pvis2019/Home.aspx

Publication series

NameIEEE Pacific Visualization Symposium
Volume2019-April
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

ConferenceIEEE Pacific Visualization Symposium 2019
Abbreviated titlePacificVis 2019
CountryThailand
CityBangkok
Period23/04/1926/04/19
Internet address

Keywords

  • Evaluation
  • Expert Interview
  • Flow Analysis
  • Flow Map
  • Flow Targets
  • Use Case

Cite this

Yang, Y., & Goodwin, S. (2019). What-why analysis of expert interviews: analysing geographically-embedded flow data. In R. Maciejewski, J. Seo, & R. Westermann (Eds.), Proceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019: 23-26 April 2019 Bangkok, Thailand (pp. 122-126). [8781587] (IEEE Pacific Visualization Symposium; Vol. 2019-April). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PacificVis.2019.00022
Yang, Yalong ; Goodwin, Sarah. / What-why analysis of expert interviews : analysing geographically-embedded flow data. Proceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019: 23-26 April 2019 Bangkok, Thailand. editor / Ross Maciejewski ; Jinwook Seo ; Rüdiger Westermann. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 122-126 (IEEE Pacific Visualization Symposium).
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Yang, Y & Goodwin, S 2019, What-why analysis of expert interviews: analysing geographically-embedded flow data. in R Maciejewski, J Seo & R Westermann (eds), Proceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019: 23-26 April 2019 Bangkok, Thailand., 8781587, IEEE Pacific Visualization Symposium, vol. 2019-April, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 122-126, IEEE Pacific Visualization Symposium 2019, Bangkok, Thailand, 23/04/19. https://doi.org/10.1109/PacificVis.2019.00022

What-why analysis of expert interviews : analysing geographically-embedded flow data. / Yang, Yalong; Goodwin, Sarah.

Proceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019: 23-26 April 2019 Bangkok, Thailand. ed. / Ross Maciejewski; Jinwook Seo; Rüdiger Westermann. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 122-126 8781587 (IEEE Pacific Visualization Symposium; Vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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Yang Y, Goodwin S. What-why analysis of expert interviews: analysing geographically-embedded flow data. In Maciejewski R, Seo J, Westermann R, editors, Proceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019: 23-26 April 2019 Bangkok, Thailand. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 122-126. 8781587. (IEEE Pacific Visualization Symposium). https://doi.org/10.1109/PacificVis.2019.00022