AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: UCGIS GeoAI & CyberGIS Research Initiative- GeoAI and CyberGIS for Advancing Spatial Decision Making
Type: Virtual Paper
Day: 3/1/2022
Start Time: 11:20 AM
End Time: 12:40 PM
Theme:
Sponsor Group(s):
Geographic Information Science and Systems Specialty Group
, Spatial Analysis and Modeling Specialty Group
, Cyberinfrastructure Specialty Group
,
,
,
,
,
,
Organizer(s):
Yingjie Hu
, Zhe Zhang
, Lei Zou
, Wenwen Li
Chairs(s):
Yingjie Hu, University at Buffalo
; Zhe Zhang, Texas A&M University
Description:
Geographical Information Systems provides technical solutions to help decision-makers understand interactions between spatial and cultural factors in spatial decision-making processes. However, computational challenges often exist in deriving knowledge from geospatial data that often comes from various data sources that comes in different formats and scales. A CyberGIS-enabled spatial decision support system (SDSS) represents a framework for integrating advanced cyberinfrastructure, spatial analytical capabilities, spatial and non-spatial data management system, domain knowledge base, and spatial visualization system to tackle challenging decision problems that involve global changes which are geospatially heterogeneous and interdependent. The recent advances in geospatial artificial intelligence (GeoAI) and decision-making models have great potential to add a smart analytical core to a CyberGIS-enabled SDSS. An example of such a GeoAI system is the identification of typical spatial decision making tasks and how they relate to each other.
This session aims to bring together interested researchers to present and discuss the latest progress and insights on using GeoAI and/or CyberGIS for advancing spatial decision making. This session is part of the AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS.
Presentation(s), if applicable
Somayeh Dodge, University of California Santa Barbara; A human-centered approach to movement data science |
Leila Character, ; Archaeological Machine Learning: Using Machine Learning to Supplement Field Mapping |
Marina Vicens Miquel, ; Automated Wet/Dry Shoreline Delineation Using Deep Learning |
Moongi Choi, Florida State University - UCA; Investigate Respiratory Infectious disease transmission in indoor situation by spatially explicit ABM |
Zhe Zhang, Texas A&M; Urban Computing Cyberinfrastructure: Visualizing Human Sentiment using Social Media and Augmented Reality |
Song Gao, University of Wisconsin - Madison; Reflections on the Development of Spatially Explicit Methods for GeoAI |
Non-Presenting Participants Agenda
| Role | Participant |
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: UCGIS GeoAI & CyberGIS Research Initiative- GeoAI and CyberGIS for Advancing Spatial Decision Making
Description
Virtual Paper
Contact the Primary Organizer
Yingjie Hu - yhu42@buffalo.edu
Session Sponsored By
