Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123866 - 123866
Published: Dec. 27, 2024
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123866 - 123866
Published: Dec. 27, 2024
Language: Английский
International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 130, P. 103877 - 103877
Published: May 3, 2024
Online collaborative geographic experiments have many advantages in communication, resource sharing, and task coordination; thus, they play a vital role comprehensive problem solving for interdisciplinary experts. In these experiments, different experts usually possess knowledge backgrounds are responsible specific tasks, making it difficult to fully understand the entire experimental process implementation details, which may lead ideas actions, thus reducing efficiency of experiment. Therefore, is necessary record trace information help participants reach consensus on understanding experiment support collaboration. However, most existing tracing strategies focus states data but ignore interactions that impact generation, flow, use data. Limitations remain terms providing insight into its especially when addressing requirements understanding, error localization, scheme sharing. this study presents strategy online experiments. This focuses their types, structures, dependencies during process; designs three components recording interaction information; uses corresponding extraction methods information. To verify feasibility strategy, was implemented an prototype system, case aboveground forest biomass prediction under climate change conducted with system. The results indicate proposed can enhance collaboration among participants, effectively improving performance
Language: Английский
Citations
2International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 131, P. 103953 - 103953
Published: June 13, 2024
Language: Английский
Citations
2International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22
Published: Sept. 23, 2024
Language: Английский
Citations
2Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(15)
Published: July 1, 2024
Language: Английский
Citations
1ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(10), P. 349 - 349
Published: Oct. 3, 2024
Urban waterlogging is one of the major “diseases” faced by cities, posing a great challenge to healthy and sustainable development cities. The traditional geographic knowledge graph struggles capture dynamic changes in urban over time. Therefore, objective this study analyze time, events, properties, objects, activities associated with emergency responses from spatial temporal processes perspective construct an combining top-down bottom-up approaches. We propose conceptual model response ontology based on spatiotemporal analyzing basic laws influencing factors occurrence development. Secondly, we describe construction process extraction, fusion, storage. Finally, was visualized using 159 events China 2020–2022, quality assessment indicating 81% correctness, 65.5% completeness, 95% data conciseness. results show that method can effectively express provide reference for modeling graph.
Language: Английский
Citations
0International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)
Published: Nov. 3, 2024
Improving emergency management capabilities is vital for sustainable cities. However, urban a complex, giant system that interacts between virtual and real spaces, requiring simulation in the space feedback to space. The digital twin model can potentially play an important role this process, but still faces significant challenges terms of modeling, simulation, visualization. In study, we propose digital-twin-based multi-scale method take epidemic transmission as case study. First, entity-oriented unified database integrating multi-source data was constructed twins human settlements modeling. Then, 3D geographic environment proposed support multi-level units. Moreover, adaptive fusion rendering information scene refinement An experimental study on risk estimation conducted through thousands outbreak scenarios. results demonstrate establish settlements, where visualization at multi-scales be carried out, thus enhancing efficacy efficiency management.
Language: Английский
Citations
0International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 116, P. 105121 - 105121
Published: Dec. 17, 2024
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123866 - 123866
Published: Dec. 27, 2024
Language: Английский
Citations
0