A study on the aptitude of color hue, value, and transparency for geographic relevance encoding in mobile maps

References

• Bertin, J. (1967). Sémiologie graphique. Mouton et Gauthier- Villars.
   Google Scholar
• Bertin, J. (2011). Semiology of graphics: Diagrams, networks, maps. ESRI Press.
   Google Scholar
• Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3(3), 215–229. https://doi.org/10.1038/nrn755
   Web of Science ®Google Scholar
• Cosijn, E., & Ingwersen, P. (2000). Dimensions of relevance. Information Processing and Management, 36, 533–550. https://doi.org/10.1016/S0306-4573(99)00072-2
   Web of Science ®Google Scholar
• Dent, B. (1999). Cartography: Thematic map design (5th ed.). WCB McGraw-Hill.
   Google Scholar
• De Sabbata, S. (2013). Assessing geographic relevance for mobile information services. https://doi.org/10.5167/UZH-89056
   Google Scholar
• De Sabbata, S., & Reichenbacher, T. (2012). Criteria of geographic relevance: An experimental study. International Journal of Geographical Information Science, 26(8), 1495–1520. https://doi.org/10.1080/13658816.2011.639303
   Web of Science ®Google Scholar
• Fabrikant, S., & Goldsberry, K. (2005). Thematic relevance and perceptual salience of dynamic geovisualization displays. In Proceedings of the 22nd International Cartographic Conference, A Coruña, Spain.
   Google Scholar
• Fabrikant, S. I. Montello, D. R. Ruocco, M. & Middleton, R. S.(2004). The distance – similarity methaphor in network – display spatializations. Cartography and Geographic Information Science, 31(4), 237–252. https://doi.org/10.1559/1523040042742402
   Google Scholar
• Garlandini, S., & Fabrikant, S. I. (2009). Evaluating the effectiveness and efficiency of visual variables for geographic information visualization. In K. S. Hornsby (Ed.), Spatial information theory. COSIT 2009 (pp. 195–211). Springer (Lecture Notes in Computer Science).
   Google Scholar
• Goldsberry, K. (2007). Real-time traffic maps [ PhD Thesis]. University of California Santa Barbara.
   Google Scholar
• Koch, C.(2004). Selective visual attention and computational models. CNS/Bi, 186.
   Google Scholar
• Lee, B., Dachselt, R., Isenberg, P., & Choe, E. K., (Eds.). (2022). Mobile data visualization. CRC Press.
   Google Scholar
• MacEachren, A. M. (1995). How maps work representation, visualization, and design. Guilford Press.
   Google Scholar
• MacEachren, A. M., Roth, R E., O’Brien, J., Li, B., Swingley, D., Gahegan, M. (2012). Visual Semiotics & Uncertainty Visualization: An Empirical Study. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2496–2505. https://doi.org/10.1109/TVCG.2012.279
   PubMed Web of Science ®Google Scholar
• Morrison, J. (1974). A theoretical framework for cartographic generalization with the Emphasis on the process of symbolisation. In G.M. Kirschbaum & K.-H. Meine (Eds.), International yearbook of cartography (Vol. XIV, pp. 115–127). Kirschbaum Verlag, Bonn-Bad Godesberg.
   Google Scholar
• Nivala, A. M., & Sarjakoski, L. T. (2007). User aspects of adaptive visualization for mobile maps. Cartography and Geographic Information Science, 34(4), 275–284. https://doi.org/10.1559/152304007782382954
   Google Scholar
• Raper, J. (2007). Geographic relevance. Journal of Documentation, 63(6), 836–852. https://doi.org/10.1108/00220410710836385
   Web of Science ®Google Scholar
• Reichenbacher, T. (2004). Mobile Cartography – Adaptive Visualisation of Geographic Information on Mobile Devices [ PhD Thesis]. Technical University Munich.
   Google Scholar
• Reichenbacher, T. (2019). Re-visiting Fundamental Principles of Mobile Cartography. In Joint ICA Workshop on User Experience Design for Mobile Cartography: Setting the Agenda, Beijing, China. https://use.icaci.org/wp-content/uploads/2018/11/Reichenbacher.pdf
   Google Scholar
• Roth, R. E., Donohue, R. G., Sack, C. M., Wallace, T. R., & Buckingham, T. M. A. (2015). A process for keeping pace with evolving web mapping technologies. Cartographic Perspectives, 0(78), 25–52. https://doi.org/10.14714/CP78.1273
   Google Scholar
• Roth, R., Young, S., Nestel, C., Sack, C., Davidson, B., Janicki, J., Knoppke-Wetzel, V., Ma, F., Mead, R., Rose, C., & Zhang, G. (2018). Global landscapes: Teaching globalization through responsive mobile map design. The Professional Geographer, 70(3), 395–411. https://doi.org/10.1080/00330124.2017.1416297
   Web of Science ®Google Scholar
• Schiewe, J. (2019). Empirical studies on the visual perception of spatial patterns in choropleth maps. KN - Journal of Cartography and Geographic Information, 69(3), 217–228. https://doi.org/10.1007/s42489-019-00026-y
   Google Scholar
• Stachoň, Z., Šašinka, Č., Čeněk, J., Angsüsser, S., Kubíček, P., Štěrba, Z., & Bilíková, M. (2018). Effect of size, shape and map background in cartographic visualization: Experimental study on Czech and Chinese populations. ISPRS International Journal of Geo-Information, 7(11), 427. https://doi.org/10.3390/ijgi7110427
   Web of Science ®Google Scholar
• Swienty, O., Reichenbacher, T., Reppermund, S., & Zihl, J. (2008). The role of relevance and cognition in attention-guiding geovisualisation. The Cartographic Journal, 45(3), 227–238. https://doi.org/10.1179/000870408X311422
   Web of Science ®Google Scholar
• Ware, C. (2008). Visual thinking for design (1st ed.). Morgan Kaufmann.
   Google Scholar
• Wright, R., & Ward, L. (2008). Orienting of attention. Oxford University Press.
   Google Scholar
• Zipf, A. (2003). Die Relevanz von Geoobjekten in Fokuskarten - Zur Bestimmung von Funktionen für die personen- und kontextsensitive Bewertung der Bedeutung von Geoobjekten für Fokuskarten. In Angewandte Geographische Informationsverarbeitung XV. Beiträge zum AGIT-Symposium Salzburg 2003. Symposium für Angewandte Geographische Informationstechnologie. AGIT 2003, Salzburg, Austria.
   Google Scholar