References
- Bereuter, P., & Weibel, R. (2013). Real-time generalization of point data in mobile and web mapping using quadtrees. Cartographic and Geographic Information Science, 40(4), 271–281. doi:10.1080/15230406.2013.779779
- Bertin, J. (1967). Sémiologie Graphique: Les diagrammes, les réseaux, les cartes. Paris: Gauthier-Villars.
- Brand, J., & Johnson, A. P. (2014). Attention to local and global levels of hierarchical Navon figures affects rapid scene categorization. Frontiers in Psychology, 5, 1274. doi:10.3389/fpsyg.2014.01274
- Dewey, R. A. (2004). Introduction to Psychology. Belmont, CA: Wadsworth Publishing.
- Ellis, G., & Dix, A. (2007). A taxonomy of clutter reduction for information visualization. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1216–1223. doi:10.1109/TVCG.2007.70535
- Gehlenborg, N., O’Donoghue, S. I., Baliga, N. S., Goesmann, A., Hibbs, M. A., Kitano, H., … Gavin, A. C. (2010). Visualization of omics data for systems biology. Nature Methods, 7, S56–S68. doi:10.1038/nmeth.1436
- Griffin, T. (1990). The importance of visual contrast for graduated circles. Cartography, 19(1), 21–30. doi:10.1080/00690805.1990.10438484
- Groop, R. E., & Cole, D. (1978). Overlapping graduated circles/magnitude estimation and method of portrayal. Cartographica: the International Journal for Geographic Information and Geovisualization, 15(2), 114–122. doi:10.3138/Q5Q5-N244-8462-NG25
- Heinrich, J., & Weiskopf, D. (2013). State of the art of parallel coordinates. In M. Sbert & L. Szirmay-Kalos (Eds.), Eurographics 2013 – State of the art reports (pp. 95–116). The Eurographics Association. doi:10.2312/conf/EG2013/stars/095-116
- Heymann, S., & Le Grand, B. (2013, July) Visual analysis of complex networks for business intelligence with Gephi. In Proceedings of the 17th International Conference on Information Visualization (pp. 307–312). New York: IEEE. doi:10.1109/IV.2013.39
- Korpi, J., & Ahonen-Rainio, P. (2013). Clutter reduction methods for point symbols in map mashups. Cartographic Journal, 50(3), 257–265. doi: 10.1179/1743277413Y.0000000065
- Korycka-Skorupa, J. (2000). From data to cartographic presentation forms. Miscellanea Geographica, 9, 253–262.
- Korycka-Skorupa, J., & Pasławski, J. (2017). The place of the “quantitative signature symbols” in the classification of the cartographic presentation methods. Polish Cartographical Review, 49(2), 59–66. doi: 10.1515/pcr-2017-0005
- Kubíček, P., Šašinka, Č., Stachoň, Z., Štěrba, Z., Apeltauer, J., & Urbánek, T. (2016). Cartographic design and usability of visual variables for linear features. Cartographic Journal, 54(1), 91–102. doi:10.1080/00087041.2016.1168141
- Mackay, J. R. (1949). Dotting the dot map: An analysis of dot size, number, and visual tone density. Surveying and Mapping, 9(1), 3–10.
- McMaster, R. B., & Shea, K. S. (1992). Generalization in digital cartography. Washington, DC: Association of American Geographers.
- Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 9(3), 353–383. doi:10.1016/0010-0285(77)90012-3.
- Nocke, T., Buschmann, S., Donges, J. F., Marwan, N., Schulz, H.-J., & Tominski, C. (2015). Review: Visual analytics of climate networks. Nonlinear Processes in Geophysics, 22, 545–570. doi:10.5194/npg-22-545-2015.
- Pasławski, J., Korycka-Skorupa, J., Nowacki, T., & Opach, T. (2012). Choropleth maps and diagram maps in atlas of cartographic presentation methods. Miscellanea Geographica – Regional Studies on Development, 16(1), 49–56. doi:10.2478/v10288-012-0022-5.
- Regnauld, N., & McMaster, R. B. (2007). A synoptic view of generalisation operators. In W. A. Mackaness, A. Ruas, & L. T. Sarjakoski (Eds.), Generalisation of geographic information: Cartographic modelling and applications (pp. 37–66). Amsterdam: Elsevier.
- Robinson, A. H., Sale, R. D., Morrison, J. L., & Muehrcke, P. C. (1984). Elements of cartography (5th ed.). New York: Wiley.
- Slocum, T. A., McMaster, R. B., Kessler, F. C., & Howard, H. H. (2010). Thematic cartography and geovisualization (3rd ed.). Upper Saddle River, NJ: Pearson.
- Stoter, J., Baella, B., Blok, C. A., Burghardt, D., Duchêne, C., Pla, M., … Touya, G. (2010). State-of-the-art of automated generalisation in commercial software (Report). Retrieved from https://repository.tudelft.nl/islandora/object/uuid:40b5475f-3276-404f-afcb-1746c7492387/datastream/OBJ/download
- Tufte, E. R. (1990). Envisioning Information. Cheshire, CT: Graphics Press.
- Van Kreveld, M., Van Oostrum, R., & Snoeyink, J. (1997). Efficient settlement selection for interactive display. In 1997 ACSM/ASPRS Annual Convention & Exposition. (Vol. 5; Auto-Carto 13; pp. 287–296). Bethesda, MD: ACSM/ASPRS. Retrieved from https://cartogis.org/docs/proceedings/archive/auto-carto-13/pdf/efficient-settlement-selection-for-interactive-display.pdf
- Wu, Y., Liu, X., Liu, S., & Ma, K.-L. (2013). ViSizer: A visualization resizing framework. IEEE Transactions on Visualization and Computer Graphics, 19(2), 278–290. doi:10.1109/TVCG.2012.114.
- Yan, H., & Weibel, R. (2008). An algorithm for point cluster generalization based on the Voronoi diagram. Computers and Geosciences, 34, 939–954. doi:10.1016/j.cageo.2007.07.008
- Zhou, H., Xu, P., Yuan, X., & Qu, H. (2013). Edge bundling in information visualization. Tsinghua Science and Technology, 18(2), 145–156. doi:10.1109/TST.2013.6509098.