Symposium on Frontiers in Geospatial Data Science: Synergizing Geospatial Data Science with Domain Applications IV: Disaster Management

Type: Paper
Theme:
Sponsor Groups: Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/4/2019
Start / End Time: 3:05 PM / 4:45 PM (MDT)
Room: Roosevelt 5, Marriott, Exhibition Level
Organizers: Dandong Yin, Zhe Zhang, Shaowen Wang
Chairs: Zhe Zhang

Description

With the increased frequency of natural hazards and disasters and consequent losses, it is imperative to develop efficient and timely strategies for emergency response and relief operations. Facilitating the decision-making process during an emergency response can, however, be a challenging task. The data required for effective spatial decision making in emergency management often comes from a wide variety of sources including social media data, Census data, terrain data, sensor data, to name a few. These data sources vary along a static-dynamic dimension, with different formats and scales, leading to tremendous computational challenges. So, how the GIS will integrate such data, provide real-time observations, and generate intelligent human-machine paradigm in disaster management? How to make cities less vulnerable for the many threats? These kinds of questions are to be discussed in this session.

The focus of the session includes (but not limited to) the following:
- Disaster and accident event detection, early warning, and impact/damage assessment
- Geovisual analytics of multivariate data
- Integrating data mining and crowdsourcing to support rapid decision making in disaster management
- Analyzing and visualizing spatiotemporal pattern of human dynamics
- Innovative approaches to synthesize geospatial big data for disaster management
- Multi-hazard risk assessment
- Community resilience
- Crime pattern analysis and urban security
- Critical infrastructure modeling and protection


Agenda

Type Details Minutes Start Time
Presenter Zhe Zhang*, Texas A&M University, Hao Hu, University of Illinois at Urbana-Champaign, U.S.A, Dandong Yin, University of Illinois at Urbana-Champaign, Shakil Kashem, University of Illinois at Urbana-Champaign, Ruopu Li, Southern Illinois University, Heng Cai, Louisiana State University, Dylan Perkins, University of Wyoming, Shaowen Wang, University of Illinois at Urbana-Champaign, A CyberGIS-Enabled Multi-Criteria Spatial Decision Support System: A Case Study on Flood Emergency Management 20 3:05 PM
Presenter Xiao Li*, Department of Geography, Texas A&M University, Daniel W Goldberg, Department of Geography, Texas A&M University, Da Huo, Department of Geography, Texas A&M University, An Effective Pothole Identification and Measurement System Using Mobile Devices 20 3:25 PM
Presenter Shakil Kashem*, University of Illinois at Urbana-Champaign, A framework for CyberGIS-enabled multi-scale space-time index for analyzing urban social vulnerability dynamics 20 3:45 PM
Presenter Frank LaFone*, West Virginia University, Trevor Harris, West Virginia University, Communicating flood risk through 3D visualization: informing model design through the uncanny valley 20 4:05 PM
Presenter Juanle Wang*, Institute of Geographical Sciences and Natural Resources Research, Kun Bu, International Knowledge Center for Engineering Sciences and Technology under the Auspices of UNESCO, Yuelei Yuan, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Yujie Wang, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Xuehua Han, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Correlation and Discovery of Disaster Big Data 20 4:25 PM

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