M. J. Alam, S. G. Kobourov, and S. Veeramoni, Quantitative measures for cartogram generation techniques, Comput. Graph. Forum, vol.34, issue.3, pp.351-360, 2015.

L. An, M. Tsou, S. E. Crook, Y. Chun, B. Spitzberg et al., Space-time analysis: Concepts, quantitative methods, and future directions, Annals of the Association of American Geographers, vol.105, issue.5, pp.891-914, 2015.

N. Andrienko and G. Andrienko, Interactive visual tools to explore spatiotemporal variation, Proc. of the working conference on Advanced visual interfaces (AVI), pp.417-420, 2004.

R. Beecham, J. Dykes, W. Meulemans, A. Slingsby, C. Turkay et al., Map LineUps: Effects of spatial structure on graphical inference, IEEE Transactions on Visualization and Computer Graphics, vol.23, issue.1, pp.391-400, 2017.

M. Bostock, V. Ogievetsky, and J. Heer, D3 data-driven documents, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2301-2309, 2011.

I. Boyandin, E. Bertini, and D. Lalanne, A qualitative study on the exploration of temporal changes in flow maps with animation and Small-Multiples, Comput. Graph. Forum, vol.31, issue.3pt2, pp.1005-1014, 2012.

H. Chernoff, The use of faces to represent points in k-dimensional space graphically, Journal of the American Statistical Association, vol.68, issue.342, pp.361-368, 1973.

F. Chevalier, N. H. Riche, C. Plaisant, A. Chalbi, and C. Hurter, Animations 25 years later: New roles and opportunities, Proc. of the International Working Conference on Advanced Visual Interfaces, AVI '16, pp.280-287, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01322962

P. Craig, N. R. Seïler, and A. D. Cervantes, Animated geo-temporal clusters for exploratory search in event data document collections, 18th International Conference on Information Visualisation (IV), pp.157-163, 2014.

G. Cumming, The new statistics: Why and how, Psychological Science, vol.25, issue.1, pp.7-29, 2014.

G. Cumming and S. Finch, Inference by eye: Confidence intervals and how to read pictures of data, American Psychologist, pp.170-180, 2005.

D. Dorling, Area Cartograms: Their Use and Creation, pp.252-260, 2011.

P. Dragicevic, Fair statistical communication in HCI, Modern Statistical Methods for HCI, vol.13, pp.291-330, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01377894

Y. Du, L. Ren, Y. Zhou, J. Li, F. Tian et al., Banded choropleth map, Pers. Ubiquit. Comput, vol.22, issue.3, pp.503-510, 2018.

M. E. Elmer, Symbol considerations for bivariate thematic maps, Proceedings of the 26th International Cartography Conference (ICC), 2013.

C. Fish, K. P. Goldsberry, and S. Battersby, Change blindness in animated choropleth maps: An empirical study, Cartogr. Geogr. Inf. Sci, vol.38, issue.4, pp.350-362, 2011.

G. Fuchs and H. Schumann, Visualizing abstract data on maps, Proceedings of the 8th International Conference on Information Visualisation (IV), pp.139-144, 2004.

P. Gao, Z. Li, and Z. Qin, Usability of value-by-alpha maps compared to area cartograms and proportional symbol maps, Journal of Spatial Science, pp.1-17, 2018.

P. Gatalsky, N. V. Andrienko, and G. L. Andrienko, Interactive analysis of event data using space-time cube, Proceedings of the 8th International Conference on Information Visualisation (IV), pp.145-152, 2004.

S. Goodwin, J. Dykes, A. Slingsby, and C. Turkay, Visualizing multiple variables across scale and geography, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.1, pp.599-608, 2016.

A. L. Griffin, A. M. Maceachren, F. Hardisty, E. Steiner, and B. Li, A comparison of animated maps with static small-multiple maps for visually identifying space-time clusters, Annals Assoc. of American Geographers, vol.96, issue.4, pp.740-753, 2006.

D. Guo, J. Chen, A. M. Maceachren, and K. Liao, A visualization system for space-time and multivariate patterns (vis-stamp), IEEE Transactions on Visualization and Computer Graphics, vol.12, issue.6, pp.1461-1474, 2006.

H. Hagh-shenas, S. Kim, V. Interrante, and C. Healey, Weaving versus blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, pp.1270-1277, 2007.

R. Han, Z. Li, P. Ti, and Z. Xu, Experimental evaluation of the usability of cartogram for representation of GlobeLand30 data, ISPRS International Journal of Geo-Information, vol.6, issue.6, p.180, 2017.

R. L. Harris, Information Graphics: A Comprehensive Illustrated Reference, 2000.

L. Harrison, F. Yang, S. Franconeri, and R. Chang, Ranking Visualizations of Correlation Using Weber's Law, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.12, pp.1943-1952, 2014.

M. Harrower, The cognitive limits of animated maps, Cartographica: The International Journal for Geographic Information and Geovisualization, vol.42, issue.4, pp.349-357, 2007.

J. Jo, F. Vernier, P. Dragicevic, and J. Fekete, A declarative rendering model for multiclass density maps, IEEE Transactions on Visualization and Computer Graphics, vol.25, issue.1, pp.470-480, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01848427

T. Johnson, C. Acedo, S. Kobourov, and S. Nusrat, Analyzing the evolution of the internet, 17th IEEE Eurographics Conference on Visualization (EuroVis), vol.17, 2015.

S. Kaspar, S. I. Fabrikant, and P. Freckmann, Empirical study of cartograms, 25th International Cartographic Conference (ICC), vol.3, p.5, 2011.

M. Kay and J. Heer, Beyond weber's law: A second look at ranking visualizations of correlation, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.1, pp.469-478, 2016.

S. Kim, S. Jeong, I. Woo, Y. Jang, R. Maciejewski et al., Data flow analysis and visualization for spatiotemporal statistical data without trajectory information, IEEE Transactions on Visualization and Computer Graphics, issue.99, pp.1-1, 2017.

S. Kim, R. Maciejewski, A. Malik, Y. Jang, D. S. Ebert et al., Bristle maps: a multivariate abstraction technique for geovisualization, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.9, pp.1438-1454, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00796336

A. Klippel, F. Hardisty, and R. Li, Interpreting spatial patterns: An inquiry into formal and cognitive aspects of Tobler's first law of geography, Annals of the Association of American Geographers, vol.101, issue.5, pp.1011-1031, 2011.

M. Kraak, The space-time cube revisited from a geovisualization perspective, Proc. 21st International Cartographic Conference (ICC), pp.1988-1996, 2003.

M. Krzywinski and N. Altman, Points of significance: Error bars, Nature Methods, vol.10, issue.10, pp.921-922, 2013.

J. Li, Z. Meng, M. Huang, and K. Zhang, An interactive radial visualization of geoscience observation data, Proceedings of the 8th International Symposium on Visual Information Communication and Interaction, VINCI '15, pp.93-102, 2015.

Y. Li, D. Li, and K. Zhang, Metaphoric transfer effect in information visualization using glyphs, Proceedings of the 8th International Symposium on Visual Information Communication and Interaction, VINCI '15, pp.121-130, 2015.

M. A. Livingston and J. W. Decker, Evaluation of trend localization with multi-variate visualizations, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2053-2062, 2011.

M. A. Livingston and J. W. Decker, Evaluation of multivariate visualizations: a case study of refinements and user experience, p. 82940G. SPIE -International Society for Optics and Photonics, vol.8294, 2012.

L. Mcnabb, R. S. Laramee, and R. Fry, Dynamic choropleth maps -using amalgamation to increase area perceivability, Proceedings of the 22nd International Conference Information Visualisation (IV), pp.284-293, 2018.

L. Mcnabb, R. S. Laramee, and M. Wilson, When size matters: towards evaluating perceivability of choropleths, Proceedings of the Conference on Computer Graphics & Visual Computing, pp.163-171, 2018.

T. Nakaya and K. Yano, Visualising crime clusters in a space-time cube: An exploratory data-analysis approach using space-time kernel density estimation and scan statistics, Transactions in GIS, vol.14, issue.3, pp.223-239, 2010.

S. Nusrat, M. J. Alam, and S. Kobourov, Evaluating cartogram effectiveness, IEEE Transactions on Visualization and Computer Graphics, vol.24, issue.2, pp.1077-1090, 2018.

S. Nusrat, M. J. Alam, C. Scheidegger, and S. Kobourov, Cartogram visualization for bivariate Geo-Statistical data, IEEE Transactions on Visualization and Computer Graphics, vol.24, issue.10, pp.2675-2688, 2018.

S. Nusrat and S. Kobourov, The state of the art in cartograms, Comput. Graph. Forum, vol.35, issue.3, pp.619-642, 2016.

J. H. Park, S. Nadeem, and A. Kaufman, GeoBrick: exploration of spatiotemporal data. The Visual Computer, vol.35, pp.191-204, 2019.

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in python, Journal of machine learning research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

T. V. Perneger, What's wrong with bonferroni adjustments, BMJ, vol.316, issue.7139, pp.1236-1238, 1998.

S. Peters and L. Meng, Visual analysis for nowcasting of multidimensional lightning data, ISPRS International Journal of Geo-Information, vol.2, issue.3, pp.817-836, 2013.

D. J. Peuquet, It's about time: A conceptual framework for the representation of temporal dynamics in geographic information systems, Ann. Assoc. Am. Geogr, vol.84, issue.3, pp.441-461, 1994.

R. A. Rensink, The nature of correlation perception in scatterplots. Psychon, Bull. Rev, vol.24, issue.3, pp.776-797, 2017.

R. A. Rensink and G. Baldridge, The perception of correlation in scatterplots, Comput. Graph. Forum, vol.29, issue.3, pp.1203-1210, 2010.

G. Robertson, R. Fernandez, D. Fisher, B. Lee, and J. Stasko, Effectiveness of animation in trend visualization, IEEE Transactions on Visualization and Computer Graphics, vol.14, issue.6, pp.1325-1332, 2008.

H. Rosling, The best stats you've ever seen, pp.2019-2022, 2006.

R. E. Roth, An empirically-derived taxonomy of interaction primitives for interactive cartography and geovisualization, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, pp.2356-2365, 2013.

A. Satyanarayan, R. Russell, J. Hoffswell, and J. Heer, Reactive vega: A streaming dataflow architecture for declarative interactive visualization, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.1, pp.659-668, 2016.

R. Scheepens, H. V. Wetering, and J. J. Wijk, Non-overlapping aggregated multivariate glyphs for moving objects, IEEE Pacific Visualization Symposium, pp.17-24, 2014.

J. Schiewe, Task-Oriented visualization approaches for landscape and urban change analysis, ISPRS International Journal of Geo-Information, vol.7, issue.8, p.288, 2018.

B. Shneiderman, Why not make interfaces better than 3d reality?, IEEE Comput. Graph. Appl, vol.23, issue.6, pp.12-15, 2003.

A. Slingsby, Tilemaps for summarising multivariate geographical variation, IEEE VIS Poster, 2018.

J. Stewart and P. J. Kennelly, Illuminated choropleth maps, Annals of the Association of american Geographers, vol.100, issue.3, pp.513-534, 2010.

H. Sun and Z. Li, Effectiveness of cartogram for the representation of spatial data, The Cartographic Journal, vol.47, issue.1, pp.12-21, 2010.

C. Tominski, P. Schulze-wollgast, and H. Schumann, 3D information visualization for time dependent data on maps, Proceedings of the 9th International Conference on Information Visualisation (IV), pp.175-181

, IEEE, 2005.

B. Tversky, J. B. Morrison, and M. Betrancourt, Animation: Can it facilitate?, Int. J. Hum.-Comput. Stud, vol.57, issue.4, pp.247-262, 2002.

J. A. Tyner, Principles of map design, 2014.

M. O. Ward, G. Grinstein, and D. Keim, Interactive data visualization: foundations, techniques, and applications, 2015.

C. M. Wittenbrink, A. T. Pang, and S. K. Lodha, Glyphs for visualizing uncertainty in vector fields, IEEE Transactions on Visualization and Computer Graphics, vol.2, issue.3, pp.266-279, 1996.

F. Yang, L. T. Harrison, R. A. Rensink, S. L. Franconeri, and R. Chang, Correlation judgment and visualization features: A comparative study, IEEE Transactions on Visualization and Computer Graphics, vol.25, issue.3, pp.1474-1488, 2019.

B. Yost and C. North, Single complex glyphs versus multiple simple glyphs, CHI '05 Extended Abstracts on Human Factors in Computing Systems, CHI EA '05, pp.1889-1892, 2005.

J. Zhang, A. Malik, B. Ahlbrand, N. Elmqvist, R. Maciejewski et al., TopoGroups: Context-Preserving visual illustration of Multi-Scale spatial aggregates, Proceedings of the Conference on Human Factors in Computing Systems, CHI '17, pp.2940-2951, 2017.