AAG 2023 Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions: Big Data Computing for Geospatial Applications I
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/26/2023
Time: 2:40 PM - 4:00 PM
Room: Virtual 9
Type: Virtual Paper,
Theme: Toward More Just Geographies
Curated Track:
Sponsor Group(s):
Cyberinfrastructure Specialty Group
Organizer(s):
Zhenlong Li University of South Carolina
Huan Ning University of South Carolina
Qunying Huang University of Wisconsin-Madison
Eric Shook University of Minnesota
Wenwu Tang University of North Carolina at Charlotte
Chair(s):
Zhenlong Li University of South Carolina
Description:
The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. Earth observation systems and model simulations are generating massive volumes of disparate, dynamic, and geographically distributed geospatial data with increasingly finer spatiotemporal resolutions. Meanwhile, the ubiquity of smart devices, location-based sensors, and social media platforms provide extensive geo-information about daily life activities. Efficiently analyzing those geospatial big data streams enables us to investigate complex patterns and develop new decision-support systems, thus providing unprecedented values for sciences, engineering, and business. However, handling the “Vs” (volume, variety, velocity, veracity, and value) of geospatial big data is a challenging task as they often need to be processed, analyzed, and visualized in the context of dynamic space and time.
We warmly welcome topics in big data and geospatial computing at the 2023 American Association of Geographers Annual Meeting.
Symposium Description:
The Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE, https://iguide.illinois.edu) is supported by the National Science Foundation (NSF) as part of its Harnessing the Data Revolution Big Idea initiative (https://www.nsf.gov/news/special_reports/big_ideas/harnessing.jsp). Sponsored by I-GUIDE, this symposium will explore theories, concepts, methods, and tools focused on data-intensive geospatial understanding for driving innovative artificial intelligence (AI) and cyberGIS (cyber-based geographic information science and systems) approaches to address sustainability challenges such as aging infrastructure, biodiversity loss, and food and water insecurity.
At the AAG 2023 annual meeting, the Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions will be held by building on the successes of previous Symposia focused on cyberGIS and geospatial data science at AAG annual meetings since 2011. A suite of paper and panel sessions will address cutting-edge advances of cyberGIS, geospatial AI and data science, and fundamental geospatial understanding derived from spatial and spatiotemporal data synthesis. The topical themes of the symposium will include, but are not limited to, frontiers of cyberGIS, geospatial AI and data science, high-performance computing approaches to geographic problem solving, geographic approaches to resilience and sustainability challenges enabled by AI and cyberGIS, and challenges and opportunities of education and workforce development in harnessing the geospatial data revolution.
Presentations (if applicable) and Session Agenda:
Brice Hanberry, USDA Forest Service, Rocky Mountain Research Station |
Creating consistent global definitions of urban populations with gridded population density models |
Xuan HE |
Using Open Data and Deep Learning to Explore Walkability: A Big Data-Driven Study |
Yating Ru |
Mapping poverty in low- and middle- income countries using asset-based measures and geospatial big data |
Xin Yu |
3D Line-of-Sight Analysis of Wireless Signal Coverage in the United States |
M. Naser Lessani, Pennsylvania State University - Dept of Earth and Mineral Sciences |
A parallel genetic algorithm for multiple geographical features label placements |
Non-Presenting Participants
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AAG 2023 Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions: Big Data Computing for Geospatial Applications I
Description
Type: Virtual Paper,
Date: 3/26/2023
Time: 2:40 PM - 4:00 PM
Room: Virtual 9
Contact the Primary Organizer
Zhenlong Li University of South Carolina
zhenlong@sc.edu
Session Sponsored By
