Forskarpresentation
Nancy Joy Lim
Universitetslektor
Forskningsämne: Geografi
Forskningsområde: Geospatial informationsvetenskap
E-post: nancyjoy.lim@hig.se
Telefon: 026-64 85 18
Nancy Joy Lim har en teknologie doktorsexamen i geospatial informationsvetenskap.
AKTUELL FORSKNING
LÄS MER OM
Artiklar
Vetenskapliga artiklar, refereegranskade
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
[Mer 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
[Mer 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
[Mer 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
[Mer 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
[Mer information]
Övriga artiklar (populärvetenskap, debatt etc.)
Brandt, S. & Lim, N. (2022). Geodata, översvämningsmodellering och kompetens – Hur kan osäkerhet bidra till ökad resiliens?. Kart och Bildteknik, 2022 (2), 6-12.
Länk
[Mer information]
Doktorsavhandling
Lim, N. (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 10)
Länk
[Mer information]
Kapitel i böcker
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
[Mer information]
Konferensbidrag
Lim, N. & Sahlin, E. (2017). Quantification, classification and mapping of spatial uncertainties of floods. .
[Mer 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). S. 153-159. 10.5194/piahs-373-153-2016
[Mer 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. S. 206-214.
Länk
[Mer 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. S. 213-219.
[Mer 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). S. 1015-1020.
Länk
[Mer information]