Concept and framework of digital twin human geographical environment DOI

Bingli Xu,

Xin Xiao, Ya Ping Wang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123866 - 123866

Published: Dec. 27, 2024

Language: Английский

A strategy for tracing interactions in online collaborative geographic experiments DOI Creative Commons
Hengyue Li, Zaiyang Ma,

Zhong Zheng

et al.

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

2

Construction of user-adaptive urban waterlogging emergency scenarios considering mapping concerns DOI Creative Commons
Shuai Hong,

Ziyu Liu,

Jie Shen

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 131, P. 103953 - 103953

Published: June 13, 2024

Language: Английский

Citations

2

Informed sampling and recommendation of cycling routes: leveraging crowd-sourced trajectories with weighted-latent Dirichlet allocation DOI Creative Commons
Weilian Li, Jan‐Henrik Haunert, Axel Forsch

et al.

International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Sept. 23, 2024

Language: Английский

Citations

2

A multi-factor-driven approach for predicting surface settlement caused by the construction of subway tunnels by undercutting method DOI
Jianbo Lai,

Jun Zhu,

Yukun Guo

et al.

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(15)

Published: July 1, 2024

Language: Английский

Citations

1

A Method for Constructing an Urban Waterlogging Emergency Knowledge Graph Based on Spatiotemporal Processes DOI Creative Commons
Wei Mao, Jie Shen, Qian Peter Su

et al.

ISPRS 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

0

Digital-twin-based multi-scale simulation supports urban emergency management: a case study of urban epidemic transmission DOI Creative Commons

Haojia Lin,

Renzhong Guo,

Ding Ma

et al.

International 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

0

The dynamic sketch map to support reflection on urban flooding DOI
Franck Taillandier, Patrick Taillandier, Pénélope Brueder

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 116, P. 105121 - 105121

Published: Dec. 17, 2024

Language: Английский

Citations

0

Concept and framework of digital twin human geographical environment DOI

Bingli Xu,

Xin Xiao, Ya Ping Wang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123866 - 123866

Published: Dec. 27, 2024

Language: Английский

Citations

0