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1 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 Supercomputing Applications (NCSA) University of Illinois at Urbana-Champaign AAG 2011; Seattle, WA; April 13, 2011
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NSF SI2: CyberGIS Software Integration for Sustained ...cisc.gmu.edu/scc/presentation/AAG2011-SCloud-Wang.pdfIntegration for Sustained Geospatial Innovation ... CyberGIS –In a Nutshell

May 03, 2018

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Page 1: NSF SI2: CyberGIS Software Integration for Sustained ...cisc.gmu.edu/scc/presentation/AAG2011-SCloud-Wang.pdfIntegration for Sustained Geospatial Innovation ... CyberGIS –In a Nutshell

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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 EnvironmentNational Center for Supercomputing Applications (NCSA)

University of Illinois at Urbana-Champaign

AAG 2011; Seattle, WA; April 13, 2011

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Acknowledgements

NSF Software Infrastructure for Sustained Innovation (SI2) Program– 5-year, $4.4 million

This material is based in part upon work supported by NSF under Grant Number OCI-1047916

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation

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Project Team

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

– E. Lynn Usery

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

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What is the specific need(s) addressed and how the development and use of CyberGIS software will have an impact?

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

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Overarching Goal

Establish CyberGIS as a fundamentally new software framework comprising a seamless integration of cyberinfrastructure, GIS, and spatial analysis and modeling capabilities and, thus, promises widespread scientific breakthroughs and broad societal impacts

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“If infrastructure is required for an industrial economy, then we could say that cyberinfrastructure is required for a knowledge economy.” (Atkins et al. 2003)

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CyberGIS – In a Nutshell

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)

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What are the specific software elements/infrastructure that are developed?

Online CyberGIS Gateway: https://gisolve2.cigi.uiuc.edu:8443/home/(prototype release)

CyberGIS Toolkit

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What are the potential broader impacts of the software beyond the targeted communities?

Help general public better understand spatial decision making processes

Contribute to other similar fields of study that require the synthesis of and interactions among domain-specific modeling capabilities across multiple spatiotemporal scales

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Research Plan

Participatory Evolution of CyberGIS Community Requirements

CyberGIS Software Integration Roadmap

High Performance and Scalable CyberGIS

Online CyberGIS Gateway

CyberGIS Testing and Integration with National and International Cyberinfrastructure

Community-Based and Application-Driven Evaluation of CyberGIS

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Software Capabilities and Interfaces – Starting Points

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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

operations

∆ ◊ ○ ∆ □ ◊ ○ ∆ □ ◊ ∆ ◊ ○ ∆ □ ○

Spatial middleware ∆ □ ◊ ○

Generic CI capabilities ∆ □ ◊ ○ ∆ □ ○

Online problem-solving ∆ □ ◊ ○ ∆ □ ◊

∆User interface □API &Library ◊ Service ○ Open source

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CyberGIS (www.cybrergis.org)

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

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CIGI – CyberInfrastructure and Geospatial

Information Laboratory / Virtual-Organization

High-Performance, Distributed

and Collaborative GIS

Spatial Analysis and

Modeling

Base

Cyberinfrastructure

ApplicationsEnergy,

Environment,

Health

GISolve

Spatial Knowledge of

Computational Intensity

Extreme-scale

Computing, Open

Science Grid,

TeraGrid

Multid

iscip

linary

Inte

ractions

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Science Impact