NSF SI2: CyberGIS Software Integration for Sustained Geospatial - - PowerPoint PPT Presentation
NSF SI2: CyberGIS Software Integration for Sustained Geospatial Innovation Shaowen Wang CyberInfrastructure and Geospatial Information Laboratory (CIGI) Department of Geography School of Earth, Society, and Environment National Center for
1
CyberInfrastructure and Geospatial Information Laboratory (CIGI) Department of Geography School of Earth, Society, and Environment National Center for Supercomputing Applications (NCSA) University of Illinois at Urbana-Champaign AAG 2011; Seattle, WA; April 13, 2011
NSF Software Infrastructure for Sustained
This material is based in part upon work
Any opinions, findings, and conclusions or
2
3
Principal Investigators – Shaowen Wang
PI
– Luc Anselin
Co-PI
– Budhendra Bhaduri
Co-PI
– Timothy Nyerges
Co-PI
– Nancy Wilkins-Diehr
Co-PI
Senior Personnel – Michael Goodchild – Sergio Rey – Xuan Shi – Marc Snir –
Project Staff and Students – ASU: Mark McCann – ORNL: Ranga Raju Vatsavai – SDSC: Christopher Crosby and Sriram Krishnan – UIUC: Yan Liu and Anand Padmanabhan – A number of graduate and undergraduate students Industrial Partner: ESRI – Steve Kopp
Needs – Analyzing massive spatiotemporal data – Solving geospatial problems that are computationally intensive and require collaboration support Impact – Innovate new geographic information systems software that is high-performance and scalable, distributed, collaborative, service-oriented, user-centric, and community-driven – Achieve groundbreaking scientific breakthroughs in
understanding the complexity of coupled human-natural systems
4
5
6
7
Wang, S. 2010. “A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis.” Annals of the Association of American Geographers, 100(3): 535-557 Software Integration After Wang (2010)
Online CyberGIS Gateway:
CyberGIS Toolkit
8
9
10
Participatory Evolution of CyberGIS Community
CyberGIS Software Integration Roadmap High Performance and Scalable CyberGIS Online CyberGIS Gateway CyberGIS Testing and Integration with National
Community-Based and Application-Driven
11
12
GISolve GeoDa / PySAL Open- Topography PGIST pd- GRASS GIS/SAM Agent-Based Modeling (ABM) ∆ ◊ Choice modeling ∆ □ Domain-specific modeling ∆ □ ◊ ∆ □ ◊ ○ Geostatistical modeling ∆ □ ◊ Local clustering detection ∆ □ ◊ ∆ □ ◊ ○ Spatial interpolation ∆ □ ◊ ○ ∆ □ ◊ ○ Spatial econometrics ∆ □ ◊ ○ Visualization & map
∆ ◊ ○ ∆ □ ◊ ○ ∆ □ ◊ ∆ ◊ ○ ∆ □ ○ Spatial middleware ∆ □ ◊ ○ Generic CI capabilities ∆ □ ◊ ○ ∆ □ ○ Online problem-solving ∆ □ ◊ ○ ∆ □ ◊ ∆User interface □API &Library ◊ Service ○ Open source
13
A collaborative software framework encompassing many research fields
Assessment of climate change impact
Emergency management
Seamless integration of cyberinfrastructure, GIS, and spatial analysis and modeling
Capable of handling huge volumes of data, complex analysis and
visualization required for many challenging applications
Empower high-performance and collaborative geospatial problem
solving
Gain fundamental understanding of scalable and sustainable geospatial software ecosystems
14
High-Performance, Distributed and Collaborative GIS Spatial Analysis and Modeling Base Cyberinfrastructure Applications Energy, Environment, Health GISolve Spatial Knowledge of Computational Intensity Extreme-scale Computing, Open Science Grid, TeraGrid Multidisciplinary Interactions