| Session | ||
Keynote: Jie Shen: Cartography for Emergency and Disaster Management：Hotspots and Development Trends
The speech will mainly concentrate on three parts: the introduction of the situation of disaster emergencymapping, the current research hotspots and the development trends of cartography for emergency and disaster management. | ||
| Session Abstract | ||
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The speech will mainly concentrate on three parts: the introduction of the situation of disaster emergencymapping, the current research hotspots and the development trends of cartography for emergency and disaster management. The overall situation part: Firstly, starting from the impact of disasters and their management needs, based on the current research ”the body of knowledge for cartography”, it will introduce the classification of disaster and emergency management mapping based on disaster types, disaster management processes, spatial dimensions and spatial temporal scales. As the current research hotspots, it will mainly involve the following aspects: big data-driven disaster emergency mapping, dynamic simulation of disaster processes, user-centered map design and implementation and disaster scenarios and digital twins. Facing the development trends, it will explore new methods and ideas driven by new technologies such as artificial intelligence, as well as the design and implementation of disaster narrative maps based on the coupling of nature, humanity, and memory for long-term disaster prevention and disaster education. | ||
| Presentations | ||
Cartography for Emergency and Disaster Management：Hotspots and Development Trends Nanjing Normal University, China, People's Republic of The speech will mainly concentrate on three parts: the introduction of the situation of disaster emergency mapping, the current research hotspots and the development trends of cartography for emergency and disaster management. The overall situation part: Firstly, starting from the impact of disasters and their management needs, based on the current research ”the body of knowledge for cartography”, it will introduce the classification of disaster and emergency management mapping based on disaster types, disaster management processes, spatial dimensions and spatial temporal scales. The current research hotspots will mainly involve the following aspects: big data-driven disaster emergency mapping, dynamic simulation of disaster processes, user-centred map design and implementation and disaster scenarios and digital twins. Facing the development trends, it will explore new methods and ideas driven by new technologies such as artificial intelligence, as well as the design and implementation of disaster narrative maps based on the coupling of nature, humanity, and memory for long-term disaster prevention and disaster education. | ||