Visualising post-disaster damage on maps: a user study

References

• Bertin, J., 1967. Sémiologie graphique, Les diagrammes, Les réseaux, Les cartes. Sémiologie graphique, Les diagrammes, Les réseaux, Les cartes. Paris: Gauthiers-Villars.
   Google Scholar
• Birch, C.P., Oom, S.P., and Beecham, J.A., 2007. Rectangular and hexagonal grids used for observation, experiment and simulation in ecology. Ecological Modelling, 206 (3-4), 347–359.
   Web of Science ®Google Scholar
• Blondel, J., and Ferris, R., 1995. Biogéographie: approche écologique et évolutive. Paris: Masson.
   Google Scholar
• Board, C., and Taylor, R., 1977. Perception and maps: Human factors in map design and interpretation. Transactions of the Institute of British Geographers, 2 (1), 19–36.
   Web of Science ®Google Scholar
• Brewer, C.A., Hatchard, G.W., and Harrower, M.A., 2003. ColorBrewer in print: a catalog of color schemes for maps. Cartography and Geographic Information Science, 30 (1), 5–32.
   Google Scholar
• Carr, D.B., Olsen, A.R., and White, D., 1992. Hexagon mosaic maps for display of univariate and bivariate geographical data. Cartography and Geographic Information Systems, 19 (4), 228–236.
   Web of Science ®Google Scholar
• Cauvin, C., Escobar, F., and Serradj, A., 2007. Cartographie thématique 1–Une nouvelle démarche. Paris: Hermès-Lavoisier.
   Google Scholar
• Cécé, R., et al., 2021. A 30 m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles. Natural Hazards and Earth System Sciences, 21 (1), 129–145.
   Web of Science ®Google Scholar
• Chauvin, S., 2005. Visualisations heuristiques pour la recherche et l’exploration de données dynamiques: l’art informationnel en tant que révélateur de sens. Doctoral dissertation. Université Paris VIII, Vincennes-Saint Denis.
   Google Scholar
• Chiroiu, L., 2004. Modélisation de dommages consécutifs aux séismes. Extension à d’autres risques naturels. Thesis (PhD). Université Paris-Diderot - Paris VII.
   Google Scholar
• Coyle, D., and Meier, P., 2009. New technologies in emergencies and conflicts: The role of information and Social Networks, 54–54. Washington, D.C. and London, UK: UN Foundation-Vodafone Foundation Partnership.
   Google Scholar
• Fairbairn, D., 2006. Measuring map complexity. The Cartographic Journal, 43 (3), 224–238.
   Web of Science ®Google Scholar
• Flannery, J.J., 1971. The relative effectiveness of some common graduated point symbols in the presentation of quantitative data. Cartographica: The International Journal for Geographic Information and Geovisualization, 8 (2), 96–109.
   Google Scholar
• Garnero, G., and Godone, D., 2014. Comparisons between different interpolation techniques. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W3, 139–144.
   Google Scholar
• Girres, J.-F., et al., 2018. Analysis of tsunami evacuation maps for a consensual symbolization rules proposal. International Journal of Cartography, 4 (1), 4–24.
   Google Scholar
• Goldberg, J.H., and Kotval, X.P., 1999. Computer interface evaluation using eye movements: methods and constructs. International Journal of Industrial Ergonomics, 24 (6), 631–645.
   Web of Science ®Google Scholar
• Griffin, A.L., and Fabrikant, S.I., 2012. More maps, more users, more devices means more cartographic challenges. Cartographic Journal, 49 (4), 298–301.
   Web of Science ®Google Scholar
• Gros-Desormeaux, J.-R., et al., 2015. Cartographie des tensions spatiales au sein des Znieff à la Martinique: modèle d’accessibilité à la connaissance botaniste.
   Google Scholar
• Herring, C., 1994. An architecture of cyberspace: Spatialization of the internet. Champaign, IL: US Army Construction Engineering Research Laboratory.
   Google Scholar
• Hessl, A., et al., 2007. Mapping paleo-fire boundaries from binary point data: comparing interpolation methods. The Professional Geographer, 59 (1), 87–104.
   Web of Science ®Google Scholar
• Hey, A., and Bill, R., 2014. Placing dots in dot maps. International Journal of Geographical Information Science, 28 (12), 2417–2434.
   Web of Science ®Google Scholar
• Itten, J., 1967. Art de la couleur. in 1961: Kunst der Farbe, translated in French in 1967, then 2001. Dessain and Tolra, 155 p.
   Google Scholar
• Itti, L., and Koch, C., 2001. Feature combination strategies for saliency-based visual attention systems. Journal of Electronic Imaging, 10 (1), 161–169.
   Web of Science ®Google Scholar
• Jégou, L., 2013. Vers une nouvelle prise en compte de l’esthétique dans la composition de la carte thématique: propositions de méthodes et d’outils. These de doctorat en Géographie. Université Toulouse le Mirail - Toulouse II.
   Google Scholar
• Jégou, L., 2016. L’imagination esthétique dans la conception graphique des cartes: proposition de typologie illustrée, 22.
   Google Scholar
• Jégou, L., and Deblonde, J.-P., 2012. Vers une visualisation de la complexité de l’image cartographique. Cybergeo: European Journal of Geography. Article 600.
   Google Scholar
• Keates, J., 1964. Cartographic communication. Presented at the 20th International Geographical Congress, 20–28.
   Google Scholar
• Kent, A.J., 2012. From a dry statement of facts to a thing of beauty: understanding aesthetics in the mapping and counter-mapping of place. Cartographic Perspectives, (73), 37–60.
   Google Scholar
• Kerle, N., and Hoffman, R.R., 2013. Collaborative damage mapping for emergency response: the role of Cognitive Systems Engineering. Natural Hazards and Earth System Sciences, 13 (1), 97–113.
   Web of Science ®Google Scholar
• Kienberger, S., Lang, S., and Zeil, P., 2009. Spatial vulnerability units–expert-based spatial modelling of socio-economic vulnerability in the Salzach catchment. Natural Hazards and Earth System Sciences, 9 (3), 767–778.
   Web of Science ®Google Scholar
• Konecny, M., and Bandrova, T., 2006. Proposal for a standard in cartographic visualization of natural risks and disasters. International Journal of Urban Sciences, 10 (2), 130–139.
   Google Scholar
• Kraak, M.-J., and Fabrikant, S.I., 2017. Of maps, cartography and the geography of the International Cartographic Association. International Journal of Cartography, 3 (Sup1), 9–31.
   Google Scholar
• Krebs, C.J., 1989. Ecological methodology. Harper & Row New York.
   Google Scholar
• Kuveždić Divjak, A., and Lapaine, M., 2018. Crisis Maps—Observed Shortcomings and Recommendations for Improvement. ISPRS International Journal of Geo-Information, 7 (11), 436.
   Web of Science ®Google Scholar
• Lajoie, G., 1992. Le carroyage des informations urbaines: une nouvelle forme de banque de données sur l’environnement du Grand Rouen. Publication Univ Rouen Havre.
   Google Scholar
• Lobo, M.-J., Pietriga, E., and Appert, C., 2015. An evaluation of interactive map comparison techniques. Presented at the Proceedings of the 33rd annual ACM conference on human factors in computing systems, 3573–3582.
   Google Scholar
• Mitas, L., and Mitasova, H., 1999. Spatial interpolation. Geographical Information Systems: principles, Techniques, Management and Applications, 1 (2), 18.
   Google Scholar
• Moreau, G., and Locht, J.-L., 2016. Importance de l’utilisation du Système d’Information Géographique pour les vastes sites de plein air du Paléolithique moyen en France septentrionale. L’Exemple de Caours (Somme, France) et Beauvais (Oise, France).
   Google Scholar
• Munzner, T., 2014. Visualization analysis and design. CRC press.
   Google Scholar
• Popelka, S., et al., 2012. Advanced map optimalization based on eye-tracking. Cartography–A Tool for Spatial Analysis, 99–118.
   Google Scholar
• Popelka, S., Vondrakova, A., and Hujnakova, P., 2019. Eye-tracking Evaluation of Weather Web Maps. ISPRS International Journal of Geo-Information, 8 (6), 256.
   Web of Science ®Google Scholar
• Pouivet, R., 2010. L’ontologie de l’oeuvre d’art. Vrin.
   Google Scholar
• Pumain, D., and Saint-Julien, T., 2010. Analyse spatiale: Les localisations. Armand Colin.
   Google Scholar
• Rey, T., et al., 2019. Coastal processes and influence on damage to urban structures during Hurricane Irma (St-Martin & St-Barthélemy, French West Indies). Journal of Marine Science and Engineering, 7 (7), 215.
   Web of Science ®Google Scholar
• Roche, S., Propeck-Zimmermann, E., and Mericskay, B., 2013. GeoWeb and crisis management: Issues and perspectives of volunteered geographic information. GeoJournal, 78 (1), 21–40.
   PubMedGoogle Scholar
• Sève, R., 2009. Science de la couleur: Aspects physiques et perceptifs. Chalagam.
   Google Scholar
• Stachoň, Z., et al., 2016. Cartographic principles for standardized cartographic visualization for crisis management community. Presented at the Proceedings, 6th international conference on cartography and GIS, 781–788.
   Google Scholar
• Staněk, K., et al., 2010. Selected issues of cartographic communication optimization for emergency centers. International Journal of Digital Earth, 3 (4), 316–339.
   Web of Science ®Google Scholar
• Stefanakis, E., 2017. Web Mercator and raster tile maps: two cornerstones of online map service providers. GEOMATICA, 71 (2), 100–109.
   Google Scholar
• Stevens, S., 1975. Psychophysics: Introduction to its perceptual, neural, and social prospects. 2000 ed. New York: John Willey and Sons.
   Google Scholar
• Ware, C., 2019. Information visualization: perception for design. Morgan Kaufmann.
   Google Scholar