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Research presentation

Nancy Joy Lim

Nancy Joy Lim, lektor.

Research presentation

Nancy Joy Lim

Senior lecturer

Research subject: Geography
Research domain: Geospatial information science




Scholarly articles, refereed

Brandt, S., Lim, N., Colding, J. & Barthel, S. (2021). Mapping Flood Risk Uncertainty Zones in Support of Urban Resilience Planning. Urban Planning, 6 (3), 258-271. 10.17645/up.v6i3.4073 [More information]
Lim, N. & Brandt, S. (2019). Are Feature Agreement Statistics Alone Sufficient to Validate Modelled Flood Extent Quality? : A Study on Three Swedish Rivers Using Different Digital Elevation Model Resolutions. Mathematical problems in engineering (Print), 2019. 10.1155/2019/9816098 [More information]
Lim, N. & Brandt, S. (2019). Flood map boundary sensitivity due to combined effects of DEM resolution and roughness in relation to model performance. Geomatics, Natural Hazards and Risk, 10 (1), 1613-1647. 10.1080/19475705.2019.1604573 [More information]
Seipel, S. & Lim, N. (2017). Color map design for visualization in flood risk assessment. International Journal of Geographical Information Science, 31 (11), 2286-2309. 10.1080/13658816.2017.1349318 [More information]
Lim, N., Brandt, S. & Seipel, S. (2016). Visualisation and evaluation of flood uncertainties based on ensemble modelling. International Journal of Geographical Information Science, 30 (2), 240-262. 10.1080/13658816.2015.1085539 [More information]

Other articles (popular science, debate etc.)

Brandt, S. & Lim, N. (2022). Geodata, översvämningsmodellering och kompetens – Hur kan osäkerhet bidra till ökad resiliens?. Kart och Bildteknik, 2022 (2), 6-12. External link [More information]

Doctoral thesis

Lim, N. (2018). Modelling, mapping and visualisation of flood inundation uncertainties. Diss. (sammanfattning), 2018. Gävle: Gävle University Press. 109 p. (Studies in the Research Profile Built Environment. Doctoral thesis 10) External link [More information]

Book chapters

Lim, N. & Brandt, S. (2023). DEM Resolution and Roughness Effect in Relation to Model Performance. Geospatial Information Handbook for Water Resources and Watershed Management, Volume II : Methods and Modelling. Boca Raton: CRC Press. 10.1201/9781003175025 [More information]

Conference papers

Lim, N. & Sahlin, E. (2017). Quantification, classification and mapping of spatial uncertainties of floods. . [More information]
Brandt, S. & Lim, N. (2016). Visualising DEM-related flood-map uncertainties using a disparity-distance equation algorithm. IAHS-AISH Proceedings and Reports. Göttingen: Copernicus Publications on behalf of International Association of Hydrological Sciences (IAHS). P. 153-159. 10.5194/piahs-373-153-2016 [More information]
Lim, N., Åhlén, J. & Seipel, S. (2014). Geovisualisation of uncertainty in simulated flood maps. Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2014, Game and Entertainment Technologies 2014 and Computer Graphics, Visualization, Computer Vision and Image Processing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014: IADIS Press. P. 206-214. External link [More information]
Moreira, J., Nex, F., Agugiaro, G., Remondino, F. & Lim, N. (2013). From DSM to 3D building models : A quantitative evaluation. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Gottingen: Copernicus gesellschaft MBH. P. 213-219. [More information]
Brandt, S. & Lim, N. (2012). Importance of river bank and floodplain slopes on the accuracy of flood inundation mapping. River Flow 2012 : Volume 2. Leiden, The Netherlands: CRC Press / Balkema (Taylor & Francis). P. 1015-1020. External link [More information]
Published by: Camilla Haglund Page responsible: Gunilla Mårtensson Updated: 2022-07-05
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