Slides - Mapping Ideas

Report
A CyberGIS Environment for Near-Real-Time
Spatial Analysis of Social Media Data
Shaowen Wang
CyberInfrastructure and Geospatial Information Laboratory (CIGI)
Department of Geography and Geographic Information Science
Department of Computer Science
Department of Urban and Regional Planning
National Center for Supercomputing Applications (NCSA)
University of Illinois at Urbana-Champaign
NSF-CDI Specialist Meeting
Knowledge Discovery in Cyberspace and Big Data
San Diego, CA
August 7, 2013
Cyberinfrastructure – A Simplified View
Data / Information
People
Integration
Collaboration
Computing
Communication
Advanced Cyberinfrastructure Examples
www.opensciencegrid.org
www.xsede.org
http://lakjeewa.blogspot.com/20
11/09/what-is-cloudcomputing.html
CyberGIS – A Tetrahedron View
Data / Information
Geo
Spatial
CyberGIS
Computing
Communication
What is special about “G” in CyberGIS?
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•
•
•
Location
Place
Space
Spatiotemporal
o Integration
o Synthesis
CyberGIS FluMapper
• Purpose: Early and finespatiotemporal-scale detection of
flu outbreak
• Hypothesis: Is such detection
feasible based on social media
data?
Demo
Questions – Scientific Problem Solving
• How to detect, represent, and communicate
spatiotemporal patterns of flu risk?
• How to reveal spatial diffusion trajectories
across various spatiotemporal scales?
Wang, S., Cao, G., Zhang, Z., Zhao, Y., and Padmanabhan, A. 2012. “A CyberGIS Environment for
Analysis of Location-Based Social Media Data.” In: Location-Based Computing and Services, 2nd
Edition, ed. A. K. Hassan and H. Amin, CRC Press, pages: 187-205
FluMapper Components
• Data collection and processing
o Collects, processes and stores streaming data from Twitter in near real time
o Scalable services to query raw and derived data
• Spatiotemporal data model
o Provides aggregated data and statistics at multiple scales for efficient information
retrieval
o At the finest scale, the conterminous United States is represented as a field of 30-arc
second resolution
• Exploratory data analysis
o Kernel density estimation (KDE)
o Monte-Carlo simulations
• Flow mapping
o Single-source flow mapping is applied to depict movement patterns
Spatiotemporal Data Cube
(May 23 ~ June 5, 2013)
A 2D Illustrative Example
Questions – CyberGIS
• How to model and analyze big data that are not collected
for the purpose of intended spatiotemporal analysis?
• How to integrate hybrid spatiotemporal analyses?
• How to replicate and validate such analyses?
• What are the key CyberGIS characteristics?
• What are the basic building blocks of CyberGIS?
NSF CyberGIS Project
$4.43 million, Year: 2010-1015
Principal Investigator
– Shaowen Wang
Co-Principal Investigators
– Luc Anselin
– Budhendra Bhaduri
– Timothy Nyerges
– Nancy Wilkins-Diehr
Senior
–
–
–
–
–
Personnel
Michael Goodchild
Sergio Rey
Xuan Shi
Marc Snir
E. Lynn Usery
Project Staff
– ASU: Wenwen Li and Rob Pahle
– ORNL: Ranga Raju Vatsavai
– SDSC: Choonhan Youn
– UIUC: Yan Liu and Anand
Padmanabhan
– Graduate and undergraduate students
Industrial Partner: Esri
– Steve Kopp
Overarching Goal
• Establish CyberGIS as a fundamentally new software
framework comprising a seamless integration of
advanced cyberinfrastructure, GIS, and spatial analysis
and modeling capabilities and, thus, leads to widespread
scientific breakthroughs and broad societal impacts
16
Long Tail – CyberGIS for Whom?
CyberGIS
Toolkit
CyberGIS
Gateway
17
GISolve Middleware
18
Integration Framework
19
Wang, S., Anselin, L., Bhaduri, B., Crosby, C., Goodchild, M. F., Liu, Y., and Nyerges, T. L. “CyberGIS
Software: A Synthetic Review and Integration Roadmap.” International Journal of Geographical Information
Science, DOI:10.1080/13658816.2013.776049.
CyberGIS Gateway – Broad Approach –
Lowering Entry Door to CyberGIS Analytics
21
CyberGIS Toolkit – Deep Approach


Integrated with advanced cyberinfrastructure

Plug and play

Geo/spatial as an integration axis
Open

Access

Community

Source

Service
22
Science Drivers and Applications
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•
•
•
•
•
•
•
•
Climate science
Emergency management
Geographic information science
Geography and spatial sciences
Hydrology
Humanities
Political science
Public health
Sustainability science
23
Cyber + GIS > Cyber | GIS
Cyber
GIS
24
Education and Workforce
• Curriculum and pedagogy
• Open ecosystems
o CyberGIS Gateway
o CyberGIS Toolkit
• Partnerships
25
Vision
Data-Intensive Sciences and Applications
Space-Time Integration & Synthesis
CyberGIS
Toolkit
GISolve
Middleware
Cyberinfrastructure
CyberGI
S
Gateway
www.cybergis.org

A collaborative software framework encompassing many
research fields




Seamless integration of advanced cyberinfrastructure,
GIS, and spatial analysis and modeling



Geo
Spatial
Empowering numerous applications and sciences
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 CyberGIS ecosystems
27
Acknowledgments

Federal Agencies



Department of Energy’s Office of Science
National Science Foundation
– BCS-0846655
– EAR-1239603
– OCI-1047916
– PHY-0621704
– PHY-1148698
– TeraGrid/XSEDE SES070004
Industry


Environmental Systems Research Institute (Esri)
Silicon Graphics, Inc. (SGI)
28
Acknowledgments – CIGI
29
Thanks!
• Comments/Questions?
• [email protected]

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