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- Lim, Nancy Joy,1980-Högskolan i Gävle,Samhällsbyggnad, GIS,Geospatial informationsteknik (author)
Visualisation and evaluation of flood uncertainties based on ensemble modelling
- Article/chapterEnglish2016
Publisher, publication year, extent ...
- 2015-09-29
- Taylor & Francis,2016
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:uu-266896
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-266896URI
- https://doi.org/10.1080/13658816.2015.1085539DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-20124URI
Supplementary language notes
- Language:English
- Summary in:English
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Notes
- Finasierat via European Union (EU) through Tillvaxtverket [GLOBES 2 project] projektnummer: 170430
- This study evaluates how users incorporate visualisation of flood uncertainty information in decision-making. An experiment was conducted where participants were given the task to decide building locations, taking into account homeowners’ preferences as well as dilemmas imposed by flood risks at the site. Two general types of visualisations for presenting uncertainties from ensemble modelling were evaluated: (1) uncertainty maps, which used aggregated ensemble results; and (2) performance bars showing all individual simulation outputs from the ensemble. Both were supplemented with either two-dimensional (2D) or three-dimensional (3D) contextual information, to give an overview of the area.The results showed that the type of uncertainty visualisation was highly influential on users’ decisions, whereas the representation of the contextual information (2D or 3D) was not. Visualisation with performance bars was more intuitive and effective for the task performed than the uncertainty map. It clearly affected users’ decisions in avoiding certain-to-be-flooded areas. Patterns to which the distances were decided from the homeowners’ preferred positions and the uncertainties were similar, when the 2D and 3D map models were used side by side with the uncertainty map. On the other hand, contextual information affected the time to solve the task. With the 3D map, it took the participants longer time to decide the locations, compared with the other combinations using the 2D model.Designing the visualisation so as to provide more detailed information made respondents avoid dangerous decisions. This has also led to less variation in their overall responses.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Vision and Robotics hsv//eng
- NATURVETENSKAP Geovetenskap och miljövetenskap Naturgeografi hsv//swe
- NATURAL SCIENCES Earth and Related Environmental Sciences Physical Geography hsv//eng
- NATURVETENSKAP Data- och informationsvetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences hsv//eng
- NATURVETENSKAP Geovetenskap och miljövetenskap Oceanografi, hydrologi och vattenresurser hsv//swe
- NATURAL SCIENCES Earth and Related Environmental Sciences Oceanography, Hydrology and Water Resources hsv//eng
- Visualisation
- uncertainty
- flood
- ensemble modelling
- decision-making
- Computerized Image Processing
- Datoriserad bildbehandling
Added entries (persons, corporate bodies, meetings, titles ...)
- Brandt, S. Anders,1970-Högskolan i Gävle,Samhällsbyggnad, GIS,Geospatial informationsteknik,Datavetenskap,Division of Visual Information and Interaction, Department of Information Technology, Uppsala University, Uppsala, Sweden(Swepub:hig)ssl (author)
- Seipel, StefanUppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion(Swepub:uu)stefseip (author)
- Högskolan i GävleSamhällsbyggnad, GIS (creator_code:org_t)
Related titles
- In:International Journal of Geographical Information Science: Taylor & Francis30:2, s. 240-2621365-88161365-88241362-3087
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