References
- Abdalla, R. and Esmail, M., 2018. WebGIS for disaster management and emergency response. Cham, Switzerland: Springer.
- Cooper, M., Hanewinkel, C., and Specht, S., Graphical user interfaces on the transition between information systems and interaction systems. ed. Proceedings of the 21st International Cartographic Conference, Durban, South Africa, 2003, 1439–1447.
- Crampton, J.W., 2002. Interactivity Types in Geographic Visualization. Cartography and Geographic Information Science, 29 (2), 85–98. doi:https://doi.org/10.1559/152304002782053314
- Du, Q., et al., 2020. Adaptive cartographic techniques for disaster emergency services. Geomatics and Information Science of Wuhan University, 45 (8), 1117–1125. doi:https://doi.org/10.13203/j.whugis20200138
- Giardini, D., et al. 1999. The GSHAP global seismic hazard map. Annals of Geophysics, 42, 6.
- Giardini, D., et al., 2018. Seismic hazard map of the Middle East. Bulletin of Earthquake Engineering, 16 (8), 3567–3570. doi:https://doi.org/10.1007/s10518-018-0347-3
- Goodchild, M.F. and Glennon, J.A., 2010. Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, 3 (3), 231–241. doi:https://doi.org/10.1080/17538941003759255
- Haynes, K., Barclay, J., and Pidgeon, N., 2007. Volcanic hazard communication using maps: an evaluation of their effectiveness. Bulletin of Volcanology, 70 (2), 123–138. doi:https://doi.org/10.1007/s00445-007-0124-7
- Hosseinnezhad, D. and Saidi-mehrabad, M., 2018. Data Fusion and Information Transparency in Disaster Chain. International Journal of Innovation, Management and Technology, 9, 4.
- Hrebícek, J. and Konecný, M., 2007. Introduction to ubiquitous cartography and dynamic geovisualization with implications for disaster and crisis management. The geospatial web. Springer, 209–214.
- Huber, S., et al., Multivariate mapping in high quality atlases. ed. Proceedings of the XXIII International Cartographic Conference ICC, 2007 Moscow.
- Kramers, E.R., 2013. Interaction with Maps on the Internet – a User Centred Design Approach for The Atlas of Canada. The Cartographic Journal, 45 (2), 98–107. doi:https://doi.org/10.1179/174327708x305094
- Liu, B.F., et al., 2017. Is a picture worth a thousand words? The effects of maps and warning messages on how publics respond to disaster information. Public Relations Review, 43 (3), 493–506. doi:https://doi.org/10.1016/j.pubrev.2017.04.004
- Madden, M., 2009. Manual of geographic information systems. Bethesda: American Society for Photogrammetry and Remote Sensing Bethesda, MD.
- Manfré, L.A., et al., 2012. An analysis of geospatial technologies for risk and natural disaster management. ISPRS International Journal of Geo-Information, 1 (2), 166–185. doi:https://doi.org/10.3390/ijgi1020166
- Peng, S.-H., Shieh, M.-J., and Fan, S.-Y., 2012. Potential hazard map for disaster prevention using GIS-based linear combination approach and analytic hierarchy method. Journal of Geographic Information System, 04 403–411. doi:https://doi.org/10.4236/jgis.2012.45046
- Pessina, V. and Meroni, F., 2009. A WebGis tool for seismic hazard scenarios and risk analysis. Soil Dynamics and Earthquake Engineering, 29 (9), 1274–1281. doi:https://doi.org/10.1016/j.soildyn.2009.03.001
- Pucher, A., 2013. Use and Users of the ÖROK-Atlas online. The Cartographic Journal, 45 (2), 108–116. doi:https://doi.org/10.1179/174327708x305102
- Ren, F., et al., 2020. Disaster emergency dynamic mapping rules on multiple spatial scale. Journal of Geomatics, 45 (3), 1–7. doi:https://doi.org/10.14188/j.2095-6045.2019208
- Security, U. D. o. H., 2005. National Planning Scenarios: Created for Use in National, Federal, State, and Local Homeland Security Preparedness Activities. Washington, DC: US Department of Homeland Security Washington, DC.
- Sha, Z. and Xie, Y., 2010. Design of service-oriented architecture for spatial data integration and its application in building web-based GIS systems. Geo-spatial Information Science, 13 (1), 8–15. doi:https://doi.org/10.1007/s11806-010-0163-7
- Shi, P., 1996. THEORY AND PRACTICE OF DISASTER STUDY. JOURNAL OF NATURAL DISASTERS, 5, 4.
- Shi, P., et al., 2015. World Atlas of Natural Disaster Risk. In: Shi, P. and Kasperson, R. eds. World Atlas of Natural Disaster Risk. Berlin, Heidelberg: Springer, 309–323.
- Skopeliti, A. and Stamou, L., 2019. Online map services: contemporary cartography or a new cartographic culture? ISPRS International Journal of Geo-Information, 8, 5. doi:https://doi.org/10.3390/ijgi8050215
- Tang, J., et al., A webgis for sharing and integration of multi-source heterogeneous spatial data. ed. 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011 Vancouver, BC, Canada, 2943–2946.
- Van Westen, C., 2000. Remote sensing for natural disaster management. International Archives of Photogrammetry and Remote Sensing, 33 (B7/4; PART 7), 1609–1617.
- Xiaofang, Y. and Hongxia, L., Research on the IDSS of unconventional emergency management based on Scenario Analysis and CBR. ed. 2011 2nd IEEE International Conference on Emergency Management and Management Sciences, 2011 Beijing, China.
- Yi, Y. and Lin, L., Anew assumption in generation mechanism of emergency plan under the perspective of “scenario-task”. ed. 2013 International Conference on Management Science and Engineering 20th Annual Conference Proceedings, 2013 Harbin, China, 2263–2270.
- Zeng, X., et al. 2013. Design and implementation of a web interactive thematic cartography method based on a web service chain. Boletim De Ciências Geodésicas, 19 (2), 172–190. doi:https://doi.org/10.1590/S1982-21702013000200002
- Zhang, C., Li, J., and Chen, X., 2012. Emergency scenario model based on knowledge element. JOURNAL OF INTELLIGENCE, 31 11–15+43.
- Zhishan, Y., et al., 2012. The research on landslide disaster information publishing system based on WebGIS. Energy Procedia, 16, 1199–1205. doi:https://doi.org/10.1016/j.egypro.2012.01.191
- Zhuang, L., et al., 2020. Disaster information acquisition by residents of China’s earthquake-stricken areas. International Journal of Disaster Risk Reduction. 51 doi:https://doi.org/10.1016/j.ijdrr.2020.101908