The complexity, diversity, and rapid growth of geospatial data have increased significantly over recent decades and are driving discoveries in a large number of application and science domains. Access to and interaction with geospatial big data collected from numerous sources are increasingly fundamental to explore natural, human and social systems at unprecedented scales and provide tremendous opportunities to gain dynamic insight into complex phenomena through big compute (e.g. cloud and high-performance computing) and cyberGIS approaches. CyberGIS – geographic information science and systems (GIS) based on advanced computing and cyberinfrastructure – represents new-generation GIS in the era of big data, and has emerged during the past several years as a vibrant interdisciplinary field. Though geospatial big data have played important roles in many domains and promise to enable a wide range of decision-making practices with significant societal impacts, spatial data science remains to be established for advancing leading-edge research and education in the era of big data and cyberGIS. As part of the AAG 2018 Symposium on CyberGIS and Spatial Data Science, this session aims to bring together researchers from pertinent multidisciplinary communities to explore the foundations and frontiers of cyberGIS and spatial data science.
|Presenter||Harold Moellering*, Ohio State University, Contributions of Analytical Cartography to GIScience||20||8:00 AM|
|Presenter||Jennifer Swift*, University of Southern California, Teaching CyberGIS to Undergraduates||20||8:20 AM|
|Presenter||Luke Bergmann*, University of Washington, David O'Sullivan, University of California, Berkeley, Computing with many spaces: Generalizing projections||20||8:40 AM|
|Presenter||Dandong Yin*, Department of Geography and GIS, University of Illinois at Urbana-Champaign, Yan Liu, Department of Geography and GIS, University of Illinois at Urbana-Champaign, Shaowen Wang, Department of Geography and GIS, University of Illinois at Urbana-Champaign, A novel network partition algorithm for scalable agent-based modeling of mass evacuation||20||9:00 AM|
|Presenter||Karen Kemp*, University of Southern California, Eric Shook, University of Minnesota, Forrest Bowlick, University of Massachusetts - Amherst, Cyber Literacy for GIScience: Toward Formalizing Geospatial Computing Education||20||9:20 AM|
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