Graphically supported evaluation of mapping techniques used in presenting spatial accessibility

References

• Brewer, C. A. (1997). Spectral schemes: Controversial color use on maps. Cartography and Geographic Information Systems, 24(4), 203–220. doi:10.1559/152304097782439231
   Google Scholar
• Cawthon, N., & Moere, A. V. (2007). The effect of aesthetic on the usability of data visualization. In: E. Banissi, R. A. Burkhard, G. Grinstein, L. Stuart, T. G. Wyeld, G. Andrienko…, & M. Hou (Eds.), 11th International Conference Information Visualization (IV 2007) (pp. 637–648). Los Alamitos, CA: IEEE. doi:10.1109/iv.2007.147
   Google Scholar
• Cybulski, P. (2016). Design rules and practices for animated maps online. Journal of Spatial Science, 61(2), 461–471. doi:10.1080/14498596.2016.1147394.
   Web of Science ®Google Scholar
• Eddins, S. (2014). Rainbow color map critiques: An overview and annotated bibliography. Retrieved from: https://www.mathworks.com/company/newsletters/articles/rainbow-color-map-critiques-an-overview-and-annotated-bibliography.html?s_tid=srchtitlef
   Google Scholar
• Friedenberg, J., & Bertamini, M. (2015). Aesthetic preference for polygon shape. Empirical Studies of the Arts, 33(2), 144–160. doi:10.1177/0276237415594708.
   Web of Science ®Google Scholar
• Guzik, R. (2003). Przestrzenna dostępność szkolnictwa ponadpodstawowego. Kraków: Instytut Geografii i Gospodarki Przestrzennej Uniwersytetu Jagiellońskiego. (in Polish).
   Google Scholar
• Halik, Ł. (2012). The analysis of visual variables for use in the cartographic design of point symbols for mobile Augmented Reality applications. Geodesy and Cartography, 61, 19–30. doi:10.2478/v10277-012-0019-4.
   Google Scholar
• Halik, Ł., & Medyńska-Gulij, B. (2017). The differentiation of point symbols using selected visual variables in the mobile augmented reality system. The Cartographic Journal, 54(2), 147–156. doi:10.1080/00087041.2016.1253144.
   Web of Science ®Google Scholar
• Huang, W., Eades, P., & Hong, S-H. (2009). Measuring effectiveness of graph visualizations: A cognitive load perspective. Information Visualization, 8(3), 139–152. doi:10.1057/ivs.2009.10
   Web of Science ®Google Scholar
• Intergovernmental Oceanographic Commission. (2008). Tsunami Glossary (IOC Technical Series, 85). Paris: UNESCO..
   Google Scholar
• ISO 9241-11. (1998). Ergonomic requirements for office work with visual display terminals (VDTS) – Part 11: Guidance on usability. Geneva: International Organization for Standardization.
   Google Scholar
• Kjellin, A., Pettersson, L. W., Seipel, S., & Lind, M. (2010). Different levels of 3D: An evaluation of visualized discrete spatiotemporal data in space-time cubes. Information Visualization, 9(2), 152–164. doi:10.1057/ivs.2009.8.
   Web of Science ®Google Scholar
• Komornicki, T., Śleszyński, P., & Siłka, P. (2012). Charakterystyka systemu osadniczego województwa podkarpackiego z identyfikacją biegunów wzrostu oraz wyróżnieniem obszarów funkcjonalnych na poziomie regionalnym i lokalnym. Warsaw: Polska Akademia Nauk, Instytut Geografii i Przestrzennego Zagospodarowania, (in Polish).
   Google Scholar
• Kramers, E. R. (2008). Interaction with maps on the internet – a user centred design approach for The Atlas of Canada. The Cartographic Journal, 45(2), 98–107. doi:10.1179/174327708X305094
   Web of Science ®Google Scholar
• Kyllonen, P., & Zu, J. (2016). Use of response time for measuring cognitive ability. Journal of Intelligence, 4(4), 14. doi:10.3390/jintelligence4040014
   Google Scholar
• Light, A., & Bartlein, P. J. (2004). The end of the rainbow? Color schemes for improved data graphics. Eos, Transactions American Geophysical Union, 85(40), 385. doi:10.1029/2004EO400002
   Google Scholar
• Lohse, G. L. (1997). The role of working memory on graphical information processing. Behaviour & Information Technology, 16(6), 297–308. doi:10.1080/014492997119707
   Web of Science ®Google Scholar
• MacEachren, A. M. (1982). The role of complexity and symbolization method in thematic map effectiveness. Annals of the Association of American Geographers, 72(4), 495–513. doi:10.1111/j.1467-8306.1982.tb01841.x
   Web of Science ®Google Scholar
• Marcus, N., Cooper, M., & Sweller, J. (1996). Understanding instructions. Journal of Educational Psychology, 88(1), 49–63.
   Web of Science ®Google Scholar
• Medyńska-Gulij, B. (2003). The effect of cartographic content on tourist map users. Cartography, 32(2), 49–54. doi:10.1080/00690805.2003.9714252
   Google Scholar
• Medyńska-Gulij, B. (2010). Map compiling, map reading, and cartographic design in “Pragmatic pyramid of thematic mapping”. Quaestiones Geographicae, 29, 1. doi:10.2478/v10117-010-0006-5
   Google Scholar
• Medyńska-Gulij, B. (2013). How the black line, dash and dot created the rules of cartographic design 400 years ago. The Cartographic Journal, 50(4), 356–368. doi:10.1179/1743277413Y.0000000035
   Web of Science ®Google Scholar
• Moere, A. V., & Purchase, H. (2011). On the role of design in information visualization. Information Visualization, 10(4), 356–371. doi:10.1177/1473871611415996
   Web of Science ®Google Scholar
• Moreland, K. (2009). In G. Bebis, R. Boyle, B. Parvin, D. Koracin, Y. Kuno, J. Wang… & D. Coming (Eds), Advances in Visual Computing. ISVC 2009. (Lecture Notes in Computer Science, vol 5876) (pp. 92–103). Berlin: Springer. doi:10.1007/978-3-642-10520-3_9
   Google Scholar
• Offenhuber, D. (2002). Wegzeit – Die Geometrie der relativen Distanz. (Engineer’s degree thesis). Technical University Vienna. (in German). Retrieved fromhttp://architektur-informatik.scix.net/cgi-bin/works/Show?_id=tuw_offenhuber&sort=DEFAULT&search=wegzeit&hits=1
   Google Scholar
• Quispel, A., Maes, A., & Schilperoord, J. (2015). Graph and chart aesthetics for experts and laymen in design: The role of familiarity and perceived ease of use. Information Visualization, 15(3), 238–252. doi:10.1177/1473871615606478
   Web of Science ®Google Scholar
• Rubin, J., & Chisnell, D. (2008). Handbook of usability testing: How to Plan, Design and Conduct Effective Tests, (2nd ed). Indianapolis, IN: Wiley.
   Google Scholar
• Salonen, M. (2014). Analysing spatial accessibility patterns with travel time and distance measures: Novel approaches for rural and urban contexts (Doctoral Dissertation). University of Helsinki. Retrieved from https://helda.helsinki.fi/handle/10138/135999
   Google Scholar
• Schobesberger, D., & Patterson, T. (2008). Evaluating the effectiveness of 2D vs. 3D trailhead maps: A map user study conducted at Zion National Park, United States. In L. Hurni, & K. Kriz (Eds.), Mountain mapping and visualisation, proceedings of the 6th ICA mountain cartography workshop (pp. 201–207), Zurich: ETH Zurich, Institute of Cartography.
   Google Scholar
• Štěrba, Z., Šašinka, Č., & Stachoň, Z. (2014). Usability testing of cartographic visualizations: Principles and research methods. In: T. Bandrova & M. Konecny (eds) 5th International Conference on Cartography and GIS Proceedings. Sofia: Bulgarian Cartographic Association. pp. 333–340.
   Google Scholar
• Štěrba, Z., Šašinka, C., Stachoň, Z., Štampach, R., & Morong, K. (2015). Selected issues of experimental testing in cartography. Brno: Masaryk University.
   Google Scholar
• Sweller, J. (2002). Visualisation and instructional design. In R. Ploetzner (Ed.), Proceedings of the International Workshop on Dynamic Visualizations and Learning (pp. 1501–1510). Tübingen, Germany: Knowledge Media Research Center.
   Google Scholar
• Vansteenvoort, L., & De Maeyer, P. (2005, July). An approach to the quality assessment of the cartographic representation of thematic information. In: Proceedings of the 22th International Cartographic Conference (ICA), La Coruna, Spain.
   Google Scholar
• Ward, M., Grinstein, G. G., & Keim, D. (2015). Interactive data visualization: Foundations, techniques, and applications. Boca Raton: CRC Press.
   Google Scholar
• Ware, C., Purchase, H., Colpoys, L., & McGill, M. (2002). Cognitive Measurements of Graph Aesthetics. Information Visualization, 1(2), 103–110. doi:10.1057/palgrave.ivs.9500013
   Google Scholar
• Wielebski, Ł. (2014). Mapping techniques of spatio-temporal relationships for a centric road network model. Kartographische Nachrichten, 64, 269–276.
   Google Scholar
• Zhu, Y. (2007). Measuring Effective Data Visualization. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, N. Paragios, S.-M. Tanveer, T. Ju, … & T. Malzbender (Eds.), Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4842. (pp. 652–661). Berlin: Springer. doi:10.1007/978-3-540-76856-2_64
   Google Scholar
• Żyszkowska, W. (1993). Złożoność jako właściwość obrazu kartograficznego i jej wpływ na odbiór mapy. Polski Przegląd Kartograficzny, 25(3), 116–125. (in Polish).
   Google Scholar