A classification scheme for static origin–destination data visualizations

References

• Andrienko, G. and Andrienko, N., 2008. Spatio-temporal aggregation for visual analysis of movements. In: IEEE symposium on visual analytics science and technology, VAST’08, Columbus, OH, 51–58.
   Google Scholar
• Andrienko, G., et al., 2017a. Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data. IEEE Transactions on Visualization and Computer Graphics, 23 (9), 2120–2136.
   PubMed Web of Science ®Google Scholar
• Andrienko, G., et al., 2017b. Visual analytics of mobility and transportation: state of the art and further research directions. IEEE Transactions on Intelligent Transportation Systems, 18 (8), 2232–2249.
   Web of Science ®Google Scholar
• Andrienko, N. and Andrienko, G., 2006. Exploratory analysis of spatial and temporal data: a systematic approach. Heidelberg, Germany: Springer Science & Business Media.
   Google Scholar
• Archambault, D., Munzner, T., and Auber, D., 2007. Grouse: feature-based, steerable graph hierarchy exploration.
   Google Scholar
• Bach, B., Pietriga, E., and Fekete, J.D., 2014. Visualizing dynamic networks with matrix cubes. In: Conference on human factors in computing systems – proceedings, 877–886.
   Google Scholar
• Battista, G.D., et al., 1994. Algorithms for drawing graphs: an annotated bibliography. Computational Geometry, 4 (5), 235–282.
   Web of Science ®Google Scholar
• Bertin, J., 1967. Sémiologie graphique: les diagrammes–les réseaux–les cartes. Paris: Mouton.
   Google Scholar
• Boyandin, I., 2013. Visualization of temporal origin-destination data.
   Google Scholar
• Buschmann, S., Trapp, M., and Döllner, J., 2016. Animated visualization of spatial–temporal trajectory data for air-traffic analysis. The Visual Computer, 32 (3), 371–381.
   Web of Science ®Google Scholar
• Collins, C. and Carpendale, S., 2007. VisLink: revealing relationships amongst visualizations. IEEE Transactions on Visualization and Computer Graphics, 13 (6), 1192–1199.
   PubMed Web of Science ®Google Scholar
• Cox, K.C. and Eick, S.G., 1995. Case study: 3D displays of internet traffic. In: Information visualization, 1995. Proceedings. IEEE, 129–131.
   Google Scholar
• Cox, K.C., Eick, S.G., and He, T., 1996. 3D geographic network displays. SIGMOD Record (ACM Special Interest Group on Management of Data), 25 (4), 50–54. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-0002766331&partnerID=40&md5=878279d380753ae5f0ccd6a8ad00172c.
   Google Scholar
• Cui, W., et al., 2008. Geometry-based edge clustering for graph visualization. IEEE Transactions on Visualization and Computer Graphics, 14 (6), 1277–1284.
   PubMed Web of Science ®Google Scholar
• Dakowicz, M. and Gold, C.M., 2005. Interactive tin modification with a cutting tool. In: Proceedings of 4th ISPRS workshop on dynamic and multi-dimensional GIS, Pontypridd, Wales. Citeseer, 5–9.
   Google Scholar
• Dent, B.D., 1999. Cartography-thematic map design.
   Google Scholar
• Dubel, S., et al., 2015. 2D and 3D presentation of spatial data: a systematic review. In: 2014 IEEE VIS international workshop on 3DVis, 3DVis 2014, 11–18.
   Google Scholar
• Egenhofer, M.J. and Franzosa, R.D., 1991. Point-set topological spatial relations. International Journal of Geographical Information Systems, 5 (2), 161–174.
   Web of Science ®Google Scholar
• Ellis, G. and Dix, A., 2007. A taxonomy of clutter reduction for information visualisation. IEEE Transactions on Visualization and Computer Graphics, 13 (6), 1216–1223.
   PubMed Web of Science ®Google Scholar
• Franklin, R., and Lewis, H.R., 1978. 3-D graphic display of discrete spatial data by prism maps. In: Proceedings of the 5th annual conference on Computer graphics and interactive techniques, 70–75.
   Google Scholar
• Guo, D., 2009. Flow mapping and multivariate visualization of large spatial interaction data. IEEE Transactions on Visualization and Computer Graphics, 15 (6), 1041–1048.
   PubMed Web of Science ®Google Scholar
• Guo, D., et al., 2006. A visualization system for space-time and multivariate patterns (VIS-STAMP). IEEE Transactions on Visualization and Computer Graphics, 12 (6), 1461–1474.
   PubMed Web of Science ®Google Scholar
• Hägerstrand, T., 1970. What about people in regional science? Papers of the Regional Science Association, 24 (1), 6–21.
   Google Scholar
• Harness, H.D., 1838. Report from Lt. H. D. Harness, R.E., explantory of the principles on which the population, traffic and conveyance maps have been constructed. Railway Commissioners (1838a), Appendix 3.
   Google Scholar
• Henry, N., Fekete, J.D., and McGuffin, M.J., 2007. NodeTrix: a hybrid visualization of social networks. IEEE Transactions on Visualization and Computer Graphics, 13 (6), 1302–1309.
   PubMed Web of Science ®Google Scholar
• Holtz, Y., 2018. Researcher network and migration flows. Available from: https://www.data-to-viz.com/story/AdjacencyMatrix.html.
   Google Scholar
• Hu, H., Zhang, H., and Li, W., 2013. Visualizing network communication in geographic environment. In: Proceedings – 2013 international conference on virtual reality and visualization, ICVRV 2013, 206–212.
   Google Scholar
• Iceland, S., ed. 2023. Internal migration between regions by sex and age 1986–2018. Available from: https://px.hagstofa.is/pxen/pxweb/en/Ibuar/Ibuar__buferlaflutningar__buferlaflinnanlands__buferlaflinnanlandseldra/MAN01001.px/table/tableViewLayout1/?rxid=79b1787a-a295-4882-98ba-2190fb8d1889.
   Google Scholar
• Iqbal, M.S., et al., 2014. Development of origin–destination matrices using mobile phone call data. Transportation Research Part C: Emerging Technologies, 40, 63–74.
   Web of Science ®Google Scholar
• Itoh, M., et al., 2013. Visualization of passenger flows on metro. In: IEEE Conference on Visual Analytics Science and Technology, VAST.
   Google Scholar
• Jenny, B., et al., 2018. Design principles for origin-destination flow maps. Cartography and Geographic Information Science, 45 (1), 62–75.
   Web of Science ®Google Scholar
• Klein, T., Van Der Zwan, M., and Telea, A., 2014. Dynamic multiscale visualization of flight data. In: VISAPP 2014 – proceedings of the 9th international conference on computer vision theory and applications, 104–114. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906899161&partnerID=40&md5=83a870d630e0ee7dd4775806be65a823.
   Google Scholar
• Koua, E.L. and Kraak, M.-J., 2004. A usability framework for the design and evaluation of an exploratory geovisualization environment. In: Proceedings. Eighth international conference on information visualisation, 2004. IV 2004. IEEE, 153–158.
   Google Scholar
• Koussoulakou, A. and Kraak, M.-J., 1992. Spatia-temporal maps and cartographic communication. The Cartographic Journal, 29 (2), 101–108.
   Web of Science ®Google Scholar
• Kraak, M.-J., 2008. Geovisualization and time – new opportunities for the space-time cube. In: Geographic visualization: concepts, tools and applications. West Sussex, England: John Wiley & Sons, Ltd., 293–306.
   Google Scholar
• Kraak, M.-J., 2014. Mapping time: illustrated by Minard’s map of Napoleon’s Russian campaign of 1812.
   Google Scholar
• Krzywinski, M., et al., 2009. Circos: an information aesthetic for comparative genomics. Genome Research, 19 (9), 1639–1645.
   PubMed Web of Science ®Google Scholar
• Krzywinski, M., et al., 2012. Hive plots – rational approach to visualizing networks. Briefings in Bioinformatics, 13 (5), 627–644.
   PubMed Web of Science ®Google Scholar
• Lambert, A., Bourqui, R., and Auber, D., 2010. 3D edge bundling for geographical data visualization. In: Proceedings of the international conference on information visualisation, 329–335.
   Google Scholar
• Lawler, J.J., et al., 2013. Projected climate‐driven faunal movement routes. Ecology Letters, 16 (8), 1014–1022.
   PubMed Web of Science ®Google Scholar
• Loua, T., 1873. Atlas Statistique de la Population de Paris. Paris: J. Dejey and Co. Editeurs.
   Google Scholar
• Minard, C.J., 1864. Carte figurative et approximative des quantités de vin français exportés par mer en 1864. Available from: http://nvac.pnl.gov/vacviews/VACViews_feb07.pdf.
   Google Scholar
• Minard, C.J., 1869. Carte figurative des pertes successives en hommes de l’Armée Française dans la campagne de Russie 1812–1813. Paris, France: Graphics Press.
   Google Scholar
• Mocnik, F.-B., 2015. A scale-invariant spatial graph model. Doctoral Thesis. Vienna University of Technology.
   Google Scholar
• Munzner, T., 1997. H3: laying out large directed graphs in 3D hyperbolic space. In: Proceedings of the IEEE symposium on information visualization, 2–10. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031353494&partnerID=40&md5=02cf763b0e27d296f17cd4396335389c.
   Google Scholar
• Munzner, T., et al., 1996. Visualizing the global topology of the MBone. In: Proceedings of the 1996 IEEE symposium on information visualization, Piscataway, NJ, USA. San Francisco, CA: IEEE, 85–92. Available from: http://www.scopus.com/inward/record.url?eid=2-s2.0-0030405302&partnerID=40&md5=6c378911850ed196ee37d74749d75391.
   Google Scholar
• Nagel, T. and Pietsch, C., 2016. CF. CITY FLOWS: A comparative visualization of urban bike mobility. Available from: https://uclab.fh-potsdam.de/cf/.
   Google Scholar
• Nagel, T., Pietsch, C., and Dork, M., 2017. Staged analysis: from evocative to comparative visualizations of urban mobility. In: 2017 IEEE VIS arts program (VISAP), 1–8.
   Google Scholar
• Ogden, C.K., and Richards, I.A. 1925. The meaning of meaning: a study of the influence of language upon thought and of the science of symbolism. Vol. 29. New York: Harcourt, Brace.
   Google Scholar
• Otten, H., et al., 2018. Shifted maps: revealing spatio-temporal topologies in movement data. In: Proceedings of the IEEE VIS arts program, VISAP 2018.
   Google Scholar
• Phan, D., et al., 2005. Flow map layout. In: IEEE symposium on information visualization, InfoVis 05, Minneapolis, MN, 219–224.
   Google Scholar
• Robinson, A.H., 1955. The 1837 maps of Henry Drury harness. The Geographical Journal, 121 (4), 440–450.
   Google Scholar
• Romat, H., et al., 2018. Animated edge textures in node-link diagrams: a design space and initial evaluation.
   Google Scholar
• Rosenberg, D. and Grafton, A., 2013. Cartographies of time: A history of the timeline. New York: Princeton Architectural Press.
   Google Scholar
• Roth, R.E. and MacEachren, A.M., 2016. Geovisual analytics and the science of interaction: an empirical interaction study. Cartography and Geographic Information Science, 43 (1), 30–54.
   Web of Science ®Google Scholar
• Sankey, H.R., 1898. Introductory note on the thermal efficiency of steam‐engines.. In: Minutes of proceedings of the institution of civil engineers, vol. 134, 278–283.
   Google Scholar
• Schich, M., et al., 2014. A network framework of cultural history. Science, 345 (6196), 558–562.
   PubMed Web of Science ®Google Scholar
• Schmidt, M., 2008. The Sankey diagram in energy and material flow management. Journal of Industrial Ecology, 12 (1), 82–94.
   Web of Science ®Google Scholar
• Schöttler, S., et al., 2021. Visualizing and interacting with geospatial networks: a survey and design space. Computer Graphics Forum, 40 (6), 5–33.
   Web of Science ®Google Scholar
• Seifoddini, H.K., 1989. Single linkage versus average linkage clustering in machine cells formation applications. Computers & Industrial Engineering, 16 (3), 419–426.
   Web of Science ®Google Scholar
• Shneiderman, B., 1992. Tree visualization with tree-maps: 2-D space-filling approach. ACM Transactions on Graphics, 11 (1), 92–99.
   Web of Science ®Google Scholar
• Snodgrass, J.G. and Vanderwart, M., 1980. A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. Journal of Experimental Psychology. Human Learning and Memory, 6 (2), 174–215.
   PubMedGoogle Scholar
• Speckmann, A. and Verbeek, K., 2010. Necklace maps. IEEE Transactions on Visualization and Computer Graphics, 16 (6), 881–889.
   PubMed Web of Science ®Google Scholar
• Stephen, D.M., 2016. Automated layout of origin-destination flow maps: US county-to-county migration 2009–2013.
   Google Scholar
• Streit, M. and Gehlenborg, N., 2014. Points of view: bar charts and box plots. Nature Methods, 11 (2), 117.
   PubMed Web of Science ®Google Scholar
• Tobler, W.R., 1981. A model of geographical movement. Geographical Analysis, 13 (1), 1–20.
   Web of Science ®Google Scholar
• Tobler, W.R., 1987. Experiments in migration mapping by computer. The American Cartographer, 14 (2), 155–163.
   Web of Science ®Google Scholar
• Tominski, C., et al., 2012. Stacking-based visualization of trajectory attribute data. IEEE Transactions on Visualization and Computer Graphics, 18 (12), 2565–2574.
   PubMed Web of Science ®Google Scholar
• Tufte, E.R., 1983. The visual display of quantitative information. Cheshire, CT: Graphics Press.
   Google Scholar
• van den Elzen, S. and van Wijk, J.J., 2014. Multivariate network exploration and presentation: from detail to overview via selections and aggregations. IEEE Transactions on Visualization and Computer Graphics, 20 (12), 2310–2319.
   PubMed Web of Science ®Google Scholar
• Van Lottum, J., Lucassen, J., and Van Voss, L.H., 2011. Sailors, national and international labour markets and national identity, 1600–1850. In: Global Economic History Series, 309–351. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947740894&partnerID=40&md5=a13e7239911402073a0cbfe8a8b742ab.
   Google Scholar
• Verbeek, K., Buchin, K., and Speckmann, B., 2011. Flow map layout via spiral trees. IEEE Transactions on Visualization and Computer Graphics, 17 (12), 2536–2544.
   PubMed Web of Science ®Google Scholar
• Wattenberg, M., 2002. Arc diagrams: visualizing structure in strings. In: Proceedings – IEEE symposium on information visualization, INFO VIS, 110–116.
   Google Scholar
• Wilkinson, L. and Friendly, M., 2009. The history of the cluster heat map. The American Statistician, 63 (2), 179–184.
   Web of Science ®Google Scholar
• Wilkinson, L., et al., 1994. SYSTAT for DOS: advanced applications, version 6 edition. Evanston, IL: SYSTAT Inc.
   Google Scholar
• Wood, J., Dykes, J., and Slingsby, A., 2010. Visualisation of origins, destinations and flows with OD maps. The Cartographic Journal, 47 (2), 117–129.
   Web of Science ®Google Scholar
• Wood, J., Slingsby, A., and Dykes, J., 2011. Visualizing the dynamics of London’s bicycle-hire scheme. Cartographica: The International Journal for Geographic Information and Geovisualization, 46 (4), 239–251.
   Google Scholar
• Yang, Y., et al., 2017. Many-to-many geographically-embedded flow visualisation: an evaluation. IEEE Transactions on Visualization and Computer Graphics, 23 (1), 411–420.
   PubMed Web of Science ®Google Scholar
• Yang, Y., et al., 2018. Maps and globes in virtual reality. Computer Graphics Forum, 37 (3), 427–438.
   Web of Science ®Google Scholar
• Yi, J.S., Elmqvist, N., and Lee, S., 2010. Timematrix: analyzing temporal social networks using interactive matrix-based visualizations. International Journal of Human–Computer Interaction, 26 (11–12), 1031–1051.
   Web of Science ®Google Scholar
• Zeng, W., et al., 2013. Visualizing interchange patterns in massive movement data. Computer Graphics Forum, 32 (3pt3), 271–280.
   Google Scholar
• Zhang, M.-J., et al., 2018. Visual exploration of 3D geospatial networks in a virtual reality environment. The Computer Journal, 61 (3), 447–458.
   Web of Science ®Google Scholar
• Zhang, M.-J., Li, J., and Zhang, K., 2016. An immersive approach to the visual exploration of geospatial network datasets. In: Proceedings of the 15th ACM SIGGRAPH conference on virtual-reality continuum and its applications in industry – volume 1. Zhuhai: ACM, 381–390.
   Google Scholar