AAG 2023 Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions - CyberGIS and Spatial Decision Support Systems (University Consortium for Geographic Information Science)
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/23/2023
Time: 10:20 AM - 11:40 AM
Room: Governors Square 14, Sheraton, Concourse Level
Type: Paper, Hybrid session with both in-person and virtual presenters
Theme: Toward More Just Geographies
Curated Track:
Sponsor Group(s):
Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Geographies of Food and Agriculture Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Guiming Zhang University of Denver
Wenwen Li Arizona State University
Marc Armstrong University of Iowa
Lei Zou Texas A&M University
Jochen Albrecht Hunter College
Shaowen Wang University of Illinois Urbana-Champaign
Chair(s):
Zhe Zhang Texas A&M University
Description:
Human-centered geospatial computing is an emerging field that bridges gaps between information systems and human cognitive capabilities to enhance human activities and performance. Despite significant research progress on geospatial computing and analysis during the past several decades, integrating human-centered design into spatial decision support systems (SDSS) to help better understand coupled human and natural systems is still at an early stage. Many questions remain to be addressed: How can human knowledge be collected, represented, and transferred efficiently and effectively into SDSS? How can the different perspectives held by decision makers and stakeholders be incorporated to generate collaborative solutions to complex decision problems? Furthermore, knowledge is often derived from geospatial data that comes from various sources with different models, formats, and scales, leading to important data modeling and computational challenges. Such challenges pose impediments to the use of SDSS to integrate diverse data at scale, provide real-time insights, and generate intelligent support for human-centered decision making.
Spatial decision support systems represent a convergent area of research for integrating human-centered computing and design, cyberGIS, scalable data management, domain knowledge base, and geospatial visualization to tackle complex decision problems that exhibit spatial heterogeneity and interdependence. This session solicits papers that will advance geospatial computing and design, behavioral geography, and participatory cyberGIS in spatial decision-making for various application domains such as disaster management, urban planning, public health surveillance, and transportation management.
Presentations (if applicable) and Session Agenda:
Kevin Curtin |
The Advantages of Tightly Integrated Spatial, Optimization, and Simulated Systems in the Context of Basic Scientific Research |
James Collins |
Near real-time survey analytics pipeline for adaptive community engagement |
Zhe Zhang, Texas A&M |
A Geospatial Cyberinfrastructure for Convergence Science - Sustainable Fishery Management |
Lily Houtman, Pennsylvania State University |
Designing Beescape NexGen: A Geovisualization Tool to Support Pollinator Health |
John Gallo |
Meeting Human and Biodiversity Needs for 30 × 30 and beyond: the Earthwise Framework and Tool |
Non-Presenting Participants
| Role | Participant |
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
AAG 2023 Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions - CyberGIS and Spatial Decision Support Systems (University Consortium for Geographic Information Science)
Description
Type: Paper, Hybrid session with both in-person and virtual presenters
Date: 3/23/2023
Time: 10:20 AM - 11:40 AM
Room: Governors Square 14, Sheraton, Concourse Level
Contact the Primary Organizer
Guiming Zhang University of Denver
guiming.zhang@du.edu
Session Sponsored By
