Dr Urška Demšar
Position:
Lecturer
Office:
Office 2.09
2nd Floor
Iontas Building
NUI Maynooth
Telephone:
+353 (0) 1 708 6178
Fax:
+353 (0) 1 708 6456
Email:
Disciplines:
Geographic Information Science, Mathematics, Computer Science
Research Areas:
Geovisualisation, Geovisual Analytics, Spatial Analysis, Visual and Spatial Data Mining
Other Keywords:
Graph theory, Network analysis, Usability, Knowledge Discovery, Crisis Management
Short bio:
Dr Urška Demšar is lecturer in Geocomputation at the National Centre for Geocomputation, NUIM. She holds a PhD in Geoinformatics from the Royal Institute of Technology, Stockholm, Sweden and MSc in Applied Mathematics from University of Ljubljana, Slovenia. Her main research topic is Geovisual Analytics. Her work is supported by a SFI Research Frontiers grant, where she looks at how visualisation (spatial and non-spatial) of Spatial Statistical Methods facilitates understanding of results of these methods. She is a member of the StratAG (Strategic Research for Advanced Geotechnologies) group in the following two areas: she initiated StratAG collaboration with Geological Survey of Ireland (GSI) on knowledge discovery from acoustic marine data; she is also involved in visual analytics research for movement data, where she is developing novel visualisation methods for trajectories of moving objects.
Key research topics:
1. Using Geovisual Analytics to facilitate interpretation of results of Spatial Statistical Methods
2. Novel Geovisual Analytical methods for analysis of movement data: e.g. space-time kernel density
3. Using Geovisual Analytics to improve seabed mapping from marine acoustic data
Professional activities:
- deputy leader of the WG4: Visual Analytics of Movement Data of the COST Action MOVE: Knowledge Discovery from Moving Objects
- member of the ICA commission on Geovisualization
- member of the ICA commission on Geospatial Analysis and Modelling
- co-chair of the Geocomputation 2007 organised at NCG in September 2007
PhD Students
PhD students she is supervising:
Kazi Ishtiak Ahmed
Thesis topic: Seabed Mapping from Sonar Data Using Geovisual Analytics
Tommy Burke
Thesis topic: Investigating usability of visualisations of GWR and other GW spatial statistical models.
Peter Foley
Thesis topic: Using Geovisual Analytics to facilitate interpretation of Geographically Weighted Discriminant Analysis and Spatio-Temporal Geographically Weighted Regression.
Publications (selected journal papers):
Demšar, U., and Virrantaus K Space-time density of trajectories: exploring spatio-temporal patterns in movement data. International Journal of Geographical Information Science, 24(10):1527-1542. 2010. doi:10.1080/13658816.2010.511223Andrienko G, Andrienko N, Demšar, U., Dransch D, Dykes J, Fabrikant S, Jern M, Kraak M-J, Schumann H and Tominski C Space, Time, and Visual Analytics. International Journal of Geographical Information Science, 24(10):1577-1600. 2010 doi:10.1080/13658816.2010.508043
Danese M, Demšar, U., Masini N and Charlton M, Investigating material decay of historic buildings using Visual Analytics with multi-temporal infrared thermographic data. Archaeometry, 52(3):482-501. 2009 doi:10.1111/j.1475-4754.2009.00485.x
Demšar, U., Fotheringham A.S. and Charlton M., Exploring the spatio-temporal dynamics of geographical processes with Geographically Weighted Regression and Geovisual Analytics. Information Visualization, 7:181-197. 2008. doi:10.1057/palgrave.ivs.9500187
Demšar, U., Fotheringham A.S. and Charlton M., Combining Geovisual Analytics with Spatial Statistics: the example of Geographically Weighted Regression. The Cartographic Journal, 45(3):182-192. 2008. doi:10.1179/000870408X311378
Demšar, U., Špatenková O. and Virrantaus K. Identifying critical locations in a spatial network with graph theory. Transactions in GIS,12(1):61-82. 2008. doi:10.1111/j.1467-9671.2008.01086.x
Demšar, U. Knowledge discovery in environmental sciences: visual and automatic data mining for radon problems in groundwater. Transactions in GIS, 11(2), 255-281. 2007. doi:10.1111/j.1467-9671.2007.01044.x
Demšar, U. Combining formal and exploratory methods for evaluation of an exploratory geovisualization application in a low-cost usability experiment. Cartography and Geographic Information Science, 34(1):29-45. 2007. doi:10.1559/152304007780279069
Demšar, U. Investigating visual exploration of geospatial data: an exploratory usability experiment for visual data mining. Computers, Environment and Urban Systems, 31(5):551571, 2007. doi:doi:10.1016/j.compenvurbsys.2007.08.006
Demšar, U. Data mining of geospatial data: combining visual and automatic method. PhD Thesis, Royal Institute of Technology (KTH), Stockholm, Sweden, 2006. Available online.