Spatiotemporal Platforms for Addressing Social and Physical Challenges
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 10137
Special Issue Editors
Interests: spatiotemporal intelligence; big earth data; spatial cloud computing; ML & DL for geosciences; knowledge base and applications; spatiotemporal computing
Special Issues, Collections and Topics in MDPI journals
Interests: atmospheric dispersion and simulation; public safety; emergency response
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Social and physical challenges, such as natural disasters, environmental problems, public security, and human activities, occur in both space and time. Many technologies have been developed in the past decade to address these challenges. Especially in the past few years, systematic investigation of spatiotemporal issues has provided new opportunities to address these challenges with better solutions. For example, the utilization of spatiotemporal principles and patterns in optimizing hybrid computing (cloud, grid, edge/fog, quantum, and GPU) has greatly improved our leveraging of limited computing devices for complex computing tasks. The extraction and application of spatiotemporal methodologies in dealing with big spatiotemporal data has opened new doors to enable many real-time and new approaches. Unprecedent applications can be tackled with these latest advances. New platforms leveraging these spatiotemporal advancements have been developed in the past few years and drive the advancement of relevant physical and social sciences. These platforms also shed new light on where the GIS is heading in the next decade with the tight coupling of spatiotemporal thinking and cutting-edge IT technologies, such as the cloud computing, Internet of Things, big data, artificial intelligence, block chain mobility, and virtual reality. This Special Issue of IJGI (ISPRS International Journal of Geo-Information) seeks to capture the latest advancements in platform research and development to reform the architecture of GIS. Topics include, but are not limited to, the following:
- Spatiotemporal cloud platforms;
- Big spatiotemporal data platforms;
- AI technologies for spatiotemporal data;
- Smart cities;
- Real-time platforms;
- Spatiotemporal platforms for geosciences (environment, earth, ecosystem, etc.);
- Spatiotemporal platforms for social sciences (public security, etc.);
- Internet of Things;
- Cyber-physical systems.
Prof. Dr. Chaowei Yang
Assoc. Prof. Mei Li
Guest Editors
Manuscript Submission Information
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Keywords
- geospatial solution
- spatiotemporal platform
- cloud computing
- big data analytics
- geosciences, interoperability and fusion
- natural hazards
- model simulation
- public security
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