The Usability of a GeoVisual Analytics Environment for the Exploration and Analysis of Different Datasets

Irma Kveladze, Menno-Jan Kraak, C. P. J. M. van Elzakker

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3 Citationer (Scopus)

Abstrakt

A GeoVisual Analytics (GVA) environment is based on highly interactive and dynamic visualization techniques intending to reveal knowledge in complex and multivariate datasets. By depicting information, these techniques amplify human capabilities and facilitate the performance of cognitive tasks for pattern recognition, decision-making or analytical reasoning. However, the question is whether those visual representations are suitable for visualization of different types of data to perform similar tasks. The limited usability studies that have been done on interactive analytical environments have failed to yield a definite answer. Therefore, this paper presents an evaluation experiment on how an interactive GVA environment can be designed that will effectively support similar task execution processes for different use cases. In the GVA environment investigated, four graphic representations of the Space-Time Cube (STC), graphs and maps are interactively integrated to allow data manipulation from location, attribute and time perspectives for overview and detailed analysis. The results of the experiment revealed that the four visual representations in a GVA environment appear to be effective and efficient to explore different datasets with similar tasks, but require some sophistication.
OriginalsprogEngelsk
TitelICAI 2017 : Advances in Carography and GIScience
RedaktørerPeterson M.
ForlagSpringer
Publikationsdato2017
Sider207-221
ISBN (Trykt)978-3-319-57335-9
ISBN (Elektronisk)978-3-319-57336-6
DOI
StatusUdgivet - 2017
Begivenhed28th International Cartographic Conference - Washington DC, USA
Varighed: 2 jul. 20177 jul. 2017
Konferencens nummer: 28

Konference

Konference28th International Cartographic Conference
Nummer28
LandUSA
ByWashington DC
Periode02/07/201707/07/2017
NavnLecture notes in geoinformation and Cartography
ISSN1863-2246

Emneord

  • GeoVisual analytics
  • Tools
  • Evaluations

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  • Citationsformater

    Kveladze, I., Kraak, M-J., & van Elzakker, C. P. J. M. (2017). The Usability of a GeoVisual Analytics Environment for the Exploration and Analysis of Different Datasets. I P. M. (red.), ICAI 2017: Advances in Carography and GIScience (s. 207-221). Springer. Lecture notes in geoinformation and Cartography https://doi.org/10.1007/978-3-319-57336-6_15