AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Data-Intensive Geography
Type: Virtual Paper
Day: 2/26/2022
Start Time: 5:20 PM
End Time: 6:40 PM
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Sponsor Group(s):
Geographic Information Science and Systems Specialty Group
, Cyberinfrastructure Specialty Group
, Spatial Analysis and Modeling Specialty Group
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Organizer(s):
Rebecca Vandewalle
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Chairs(s):
Harvey Miller, The Ohio State University
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Description:
The context for geographic research has shifted from a data-scarce to a data-rich environment, with dramatic changes in the volume, variety and velocity at which we can capture geo-referenced real-time data flowing from sensors and people in the environment. However, there are major challenges is moving from these stored data to analysis, understanding and ultimately scientific and policy decisions. These bottlenecks and frictions reduce our ability to act on geospatial data as quickly as the world changes. There are also tensions between data-rich descriptions of specific places and times and the need for generalizable and transferable geographic knowledge.
This session will explore some of the bottlenecks, tensions and challenges in data-intensive geography.
Presentation(s), if applicable
Yunsik Kim, University of North Carolina at Charlotte; Exploring the spatiotemporal patterns of urban characteristics using social big data and GeoAI |
Zhimin Ma, ; A novel and simple downscaling approach for generating a 250m resolution NDVI database since 1982 at global scale |
Chao Fan, New Mexico State University; A 20-year study of the surface urban heat island effect in Phoenix, AZ using a spatiotemporal modeling framework |
Haowen Xu, ; Digital Twin and Real-time Situational Awareness for Sustainable and Smart Campus Management |
Non-Presenting Participants Agenda
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AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Data-Intensive Geography
Description
Virtual Paper
Contact the Primary Organizer
Rebecca Vandewalle - rcvandewalle@gmail.com
Session Sponsored By
