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Evaluating the use of uncertainty visualization for exploratory analysis of land cover change: a qualitative expert user study

Evaluating the use of uncertainty visualization for exploratory analysis of land cover change: a qualitative expert user study
Evaluating the use of uncertainty visualization for exploratory analysis of land cover change: a qualitative expert user study
Extensive research on geodata uncertainty has been conducted in the past decades, mostly related to modeling, quantifying, and communicating uncertainty. But findings on if and how users can incorporate this information into spatial analyses are still rare. In this paper we address these questions with a focus on land cover change analysis. We conducted semi-structured interviews with three expert groups dealing with change analysis in the fields of climate research, urban development, and vegetation monitoring. During the interviews we used a software prototype to show change scenarios that the experts had analyzed before, extended by visual depiction of uncertainty related to land cover change.

This paper describes the study, summarizes results, and discusses findings as well as the study method. Participants came up with several ideas for applications that could be supported by uncertainty, for example, identification of erroneous change, description of change detection algorithm characteristics, or optimization of change detection parameters. Regarding the aspect of reasoning with uncertainty in land cover change data the interviewees saw potential in better-informed hypotheses and insights about change. Communication of uncertainty information to users was seen as critical, depending on the users’ role and expertize. We judge semi-structured interviews to be suitable for the purpose of this study and emphasize the potential of qualitative methods (workshops, focus groups etc.) for future uncertainty visualization studies.
uncertainty visualization, remote sensing, land cover, change analysis, user study
0098-3004
46-53
Kinkeldey, Christoph
6bc1d9c0-1ba0-49e2-9fd0-1e8f98b01003
Schiewe, Jochen
d4329a7a-12fd-4aba-bb83-554094a50fa4
Gerstmann, Henning
e999b3d3-189e-48e7-95eb-e67995d433aa
Götze, Christian
e5fabafb-1e0d-4fbc-9a2a-2f42dcafdb68
Kit, Oleksandr
48dd3a17-16ef-4682-82c8-24950abc0681
Lüdeke, Matthias
d1833382-a11f-4ba2-b656-28450baee859
Kinkeldey, Christoph
6bc1d9c0-1ba0-49e2-9fd0-1e8f98b01003
Schiewe, Jochen
d4329a7a-12fd-4aba-bb83-554094a50fa4
Gerstmann, Henning
e999b3d3-189e-48e7-95eb-e67995d433aa
Götze, Christian
e5fabafb-1e0d-4fbc-9a2a-2f42dcafdb68
Kit, Oleksandr
48dd3a17-16ef-4682-82c8-24950abc0681
Lüdeke, Matthias
d1833382-a11f-4ba2-b656-28450baee859

Kinkeldey, Christoph, Schiewe, Jochen, Gerstmann, Henning, Götze, Christian, Kit, Oleksandr and Lüdeke, Matthias (2015) Evaluating the use of uncertainty visualization for exploratory analysis of land cover change: a qualitative expert user study. Computers & Geosciences, 84, 46-53. (doi:10.1016/j.cageo.2015.08.007).

Record type: Article

Abstract

Extensive research on geodata uncertainty has been conducted in the past decades, mostly related to modeling, quantifying, and communicating uncertainty. But findings on if and how users can incorporate this information into spatial analyses are still rare. In this paper we address these questions with a focus on land cover change analysis. We conducted semi-structured interviews with three expert groups dealing with change analysis in the fields of climate research, urban development, and vegetation monitoring. During the interviews we used a software prototype to show change scenarios that the experts had analyzed before, extended by visual depiction of uncertainty related to land cover change.

This paper describes the study, summarizes results, and discusses findings as well as the study method. Participants came up with several ideas for applications that could be supported by uncertainty, for example, identification of erroneous change, description of change detection algorithm characteristics, or optimization of change detection parameters. Regarding the aspect of reasoning with uncertainty in land cover change data the interviewees saw potential in better-informed hypotheses and insights about change. Communication of uncertainty information to users was seen as critical, depending on the users’ role and expertize. We judge semi-structured interviews to be suitable for the purpose of this study and emphasize the potential of qualitative methods (workshops, focus groups etc.) for future uncertainty visualization studies.

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Uncertainty_visualization.pdf - Accepted Manuscript
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More information

Submitted date: 30 November 2014
Accepted/In Press date: 24 August 2015
e-pub ahead of print date: 28 August 2015
Published date: November 2015
Keywords: uncertainty visualization, remote sensing, land cover, change analysis, user study
Organisations: GeoData

Identifiers

Local EPrints ID: 381147
URI: http://eprints.soton.ac.uk/id/eprint/381147
ISSN: 0098-3004
PURE UUID: acafea50-d541-45e5-968a-d81b938d1ffe
ORCID for Oleksandr Kit: ORCID iD orcid.org/0000-0001-7802-6858

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Date deposited: 22 Sep 2015 13:25
Last modified: 14 Mar 2024 21:11

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Contributors

Author: Christoph Kinkeldey
Author: Jochen Schiewe
Author: Henning Gerstmann
Author: Christian Götze
Author: Oleksandr Kit ORCID iD
Author: Matthias Lüdeke

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