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From CyberGIS to Geospatial Data Science: Harnessing the Geospatial Data Revolution
Topics:
Keywords: Geographic information science and systems (GIS), cyberGIS, geospatial data science Abstract Type: Paper Abstract
Authors:
Shaowen Wang, University of Illinois Urbana-Champaign
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Abstract
CyberGIS is defined as cyber-based geographic information science and systems (GIS) and has been advanced through holistic integration of high-performance and distributed computing, data-intensive knowledge discovery, visualization and visual analytics, and collaborative problem-solving capabilities. Geospatial data science is an emerging interdisciplinary and transdisciplinary field that rests at the intersection of three broad knowledge domains: (1) cyberGIS and geospatial sciences, (2) mathematical and statistical sciences, and (3) cyberinfrastructure and computational sciences. This presentation will discuss challenges and opportunities for advancing cyberGIS and geospatial data science to tackle complex geographic and sustainability challenges through harnessing the geospatial data revolution that is permeating broad scientific and societal realms.
From CyberGIS to Geospatial Data Science: Harnessing the Geospatial Data Revolution
