Nancy Joy Lim, profilbild

Nancy Joy Lim

Senior lecturer

Research subject: Geography

Research area: Geospatial information science


About the researcher

Show the content


Other (popular science, discussion, etc.)

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


  • Brandt, S., Lim, N., Colding, J. & Barthel, S. (2021). Mapping Flood Risk Uncertainty Zones in Support of Urban Resilience Planning. Cogitatio, 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?. Hindawi Publishing Corporation, 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. Taylor & Francis, 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. Taylor & Francis, International Journal of Geographical Information Science, 30 (2), (240-262). [More information]


  • Lim, N., Seipel, S., Brandt, S., Sahlin, E. & Wilson, M. (2018). Modelling, mapping and visualisation of flood inundation uncertainties. Diss. (sammanfattning), 2018. Gävle: Gävle University Press. 109 s. (Studies in the Research Profile Built Environment. Doctoral thesis ) [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. Länk [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. S. 206-214. Länk [More information]

  • Moreira, J., Nex, F., Agugiaro, G., Remondino, F. & Lim, N. (2013). From DSM to 3D building models : A quantitative evaluation. [More information]

  • Brandt, S. & Lim, N. (2012). Importance of river bank and floodplain slopes on the accuracy of flood inundation mapping. : River Flow 2012. S. 1015-1020. [More information]

Chapters in books

  • Lim, N. & Brandt, S. (2023). DEM Resolution and Roughness Effect in Relation to Model Performance. Boca Raton, CRC Press. [More information]

Show the content

This page was last updated 2024-05-14