CyberGISX for Reproducible and Scalable Geospatial Research and Education

Presenter: Anand Padmanabhan, University of Illinois

December 1, 2020




Geospatial research and education have become increasingly computation-, data-, and collaboration-intensive. In this context, CyberGIS has emerged as new-generation geographic information science and systems (GIS), seamlessly integrating advanced cyberinfrastructure, GIS, and spatial analysis and modeling capabilities to enable broad research and education advances. Through holistic integration of high-performance and distributed computing, data-driven knowledge discovery, visualization and visual analytics, and collaborative problem-solving capabilities. CyberGIS helps bridge the significant digital divide between advanced cyberinfrastructure and geospatial communities. This talk introduces recent advances of CyberGIS with a particular focus on CyberGISX that uses Jupyter notebooks as the primary user-interface for conducting reproducible geospatial research and education at scale based on cutting-edge cyberinfrastructure and CyberGIS capabilities.



Anand Padmanabhan is a Research Associate Professor at the Department of Geography and Geographic Information Science at the University of Illinois at Urbana-Champaign (UIUC). He received his Ph.D. in Computer Science from the University of Iowa and his research interests include advanced cyberinfrastructure and CyberGIS; geospatial data science and big data; geographic information systems and science (GIS); high performance, data-intensive and cloud computing; and parallel and distributed systems.He has developed a number of tools and algorithms to enable cyberinfrastructure environments and has worked with large national cyberinfrastructure projects like the Open Science Grid (OSG) and NSF Extreme Science and Engineering Discovery Environment (XSEDE), engaging them to solve geospatial problems.