For an updated publications list see my Research@StAndrews profile or Google Scholar.

Journal papers

Williams HJ, Taylor AL, Benhamou S, Bijleveld AI, Clay TA, de Grissac S, Demšar U, English HM, Franconi N, Gómez-Laich A, Griffiths RC, Kay WP, Morales JM, Potts JR, Rogerson KF, Rutz C, Spelt A, Trevail AM, Wilson RP and Börger L, 2019, Optimising the use of bio-loggers for movement ecology research. Journal of Animal Ecology, Special feature on Bio-logging. https://doi.org/10.1111/1365-2656.13094

Demšar U and Jed A Long, 2019, Potential Path Volume (PPV): a geometric estimator for space use in 3D. Movement Ecology, 7:14. DOI: 10.1186/s40462-019-0158-4

Çöltekin A, Christophe S, Robinson A and Demšar U, 2019. Designing geovisual analytics environments and displays with humans in mind. Editorial for the special issue on Human-Centered Geovisual Analytics and Visuospatial Display Design. International Journal of Geo-Information, 8(12):572. https://doi.org/10.3390/ijgi8120572

Demšar U, Slingsby A and Weibel R, 2019, Introduction to the special section on Visual Movement Analytics. Information Visualization, 18(1):133-137, DOI: 10.1177/1473871618810849

Papastamatiou YP, Watanabe YY, Demšar U, Leos-Barajas V, Langrock R, Bradley D, Weng K, Lowe C, Friedlander A and Caselle J, 2018, Activity seascapes highlight central place refuging strategies in marine predators that never stop swimming. Movement Ecology 6:9. DOI: 10.1186/s40462-018-0127-3

Brum Bastos VdS, Long JA and Demšar U, 2018, Weather effects on human mobility: an analysis using Multi-Channel Sequence Analysis. Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2018.05.004

Demšar U and Çöltekin A, 2017, Quantifying Gaze and Mouse Interactions on Spatial Visual Interfaces with a New New Movement Analytics Methodology. PloS One 12(8): e0181818. Open Access: DOI: 10.1371/journal.pone.0181818

Demšar U, Reades J, Manley E and Batty M, 2017, Revisiting the past: Replicating fifty year old flow analysis using contemporary taxi flow data. Annals of the Association of American Geographers, Open Access: DOI: 10.1080/24694452.2017.1374164

Budziński W, Campbell D, Czajkowski M, Demšar U, Hanley N, 2017, Using geographically weighted choice models to account for spatial heterogeneity of preferences.  Journal of Agricultural Economics. DOI: 10.1111/1477-9552.12260

Zhang Z, Demšar U, Wang S and Virrantaus K, 2017, A Spatial Fuzzy Influence Diagram for Modelling Spatial Objects Dependencies: a Case Study on Tree-related Electricity Outages. International Journal of Geographic Information Science, Advanced Online Publication, DOI: 10.1080/13658816.2017.1385789.

Robinson A, Demšar U,  Moore AB, Buckley A, Jiang B, Field K, Kraak M-J, Camboin SP and Sluter CR, 2017, Geospatial big data and cartography: research challenges and opportunities for making maps that matter. International Journal of Cartography. Open Access: DOI: 10.1080/23729333.2016.1278151

Tenerelli P, Demšar U and Luque S, 2016, Crowdsourcing indicators for cultural ecosystem services: a  geographically weighted approach for mountain landscapes. Ecological Indicators, 64:237-248. DOI: 10.1016/j.ecolind.2015.12.042

Siła-Nowicka K, Vandrol J, Oshan T, Long J, Demšar U and Fotheringham S, 2015, Analysis of Human Mobility from Volunteered Movement Data and Contextual Information. International Journal of Geographic Information Science, 30:881-906. DOI: 10.1080/13658816.2015.1100731

Mansley E and Demšar U, 2015, Space matters: geographic variability of electoral turnout determinants in the 2012 London mayoral election. Electoral Studies, 40:322-334. DOI 10.1016/j.electstud.2015.10.003

Demšar U, Buchin K, Cagnacci F, Safi K, Speckmann B, Van de Weghe N, Weiskopf D and Weibel R, 2015, Analysis and visualisation of movement: an interdisciplinary review. Movement Ecology, 2015, 3:5  DOI 10.1186/s40462-015-0032-y

Demšar U, Buchin K, van Loon EE and Shamoun-Baranes J, 2015, Stacked space-time densities: a geovisualisation approach to explore dynamics of space use over time. GeoInformatica, 19(1):85-115, DOI 10.1007/s10707-014-0207-5

Zhang Z, Demšar U, Rantala J and Virrantaus K, 2014, A Fuzzy Multiple Attribute Decision-Making modelling for Vulnerability Analysis in Disaster Management. International Journal of Geographical Information Science, 28(9): 1922-1939, DOI 10.1080/13658816.2014.908472

McArdle G, Demšar U, van der Spek S and McLoone S, 2014, Classifying Pedestrian Movement Behaviour From GPS Trajectories using Visualistion and Clustering. Annals of GIS, 20(2):85-98, DOI 10.1080/19475683.2014.904560

Ahmed KI and Demšar U, 2013, Improving seabed classification from Multi-Beam Echo Sounder (MBES) backscatter data with visual data mining. Journal of Coastal Conservation: Planning & Management, 17:559-577. DOI 10.1007/s11852-013-0254-3

Foley P and Demšar U, 2013, Using geovisual analytics to compare the performance of Geographically Weighted Discriminant Analysis versus its global counterpart, Linear Discriminant Analysis. International Journal of Geographical Information Science, 27(4):633-661. DOI 10.1080/13658816.2012.722638

Demšar U, Harris P, Brunsdon C, Fotheringham AS and McLoone S, 2013, Principal Component Analysis on Spatial Data: a Review. Annals of Association of American Geographers, 103(1): 106-128. DOI 10.1080/00045608.2012.689236

Demšar U and Harris P, 2011, Visual comparison of Moving Window Kriging models. Cartographica, 46(4):211-226. DOI 10.3138/carto.46.4.211

Andrienko G, Andrienko N, Demšar U, Dransch D, Dykes J, Fabrikant S, Jern M, Kraak M-J, Schumann H and Tominski  C, 2010, Space, Time, and Visual Analytics. International Journal of Geographical Information Science, 24(10):1577–1600. DOI 10.1080/13658816.2010.508043

Demšar U and Virrantaus K, 2010, Space-time density of trajectories: exploring spatio-temporal patterns in movement data. International Journal of Geographical Information Science, 24(10):1527–1542. DOI 10.1080/13658816.2010.511223

Danese M, Demšar U, Masini N and Charlton M, 2009, Investigating material decay of historic buildings using Visual Analytics with multi-temporal infrared thermographic data. Archaeometry, 52(3):482–501. DOI 10.1111/j.1475-4754.2009.00485.x

Demšar U, Fotheringham AS and Charlton M, 2008, Exploring the spatio-temporal dynamics of geographical processes with Geographically Weighted Regression and Geovisual Analytics. Information Visualization, 7:181-197. DOI 10.1057/palgrave.ivs.9500187

Demšar U, Fotheringham AS and Charlton M, 2008, Combining Geovisual Analytics with Spatial Statistics: the example of Geographically Weighted Regression. The Cartographic Journal, 45(3):182–192. DOI 10.1179/000870408X311378

Demšar U, Špatenková O and Virrantaus K, 2008, Identifying critical locations in a spatial network with graph theory. Transactions in GIS, 12(1):61-82. DOI 10.1111/j.1467-9671.2008.01086.x

Demšar U, 2007, Investigating visual exploration of geospatial data: an exploratory usability experiment for visual data mining. Computers, Environment and Urban Systems, 31(5):551–571. DOI 10.1016/j.compenvurbsys.2007.08.006

Demšar U, 2007, 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, 2007, Knowledge discovery in environmental sciences: visual and automatic data mining for radon problem in groundwater. Transactions in GIS, 11(2): 255–281. DOI 10.1111/j.1467-9671.2007.01044.x