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Participatory Modeling Methodology on the Geospatial Web Timothy (Tim) Nyerges, Ph.D. Department of Geography University of Washington Seattle, Washington USA based on invited lecture given May 3, 2011 University of Illinois, Urbana-Champaign

Participatory Modeling Methodology on the Geospatial Web

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Participatory Modeling Methodology on the Geospatial Web. Timothy (Tim) Nyerges, Ph.D. Department of Geography University of Washington Seattle, Washington USA based on invited lecture given May 3, 2011 University of Illinois, Urbana-Champaign. Outline. - PowerPoint PPT Presentation

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Page 1: Participatory Modeling Methodology  on the Geospatial Web

Participatory Modeling Methodology on the Geospatial Web

Timothy (Tim) Nyerges, Ph.D.Department of Geography University of Washington Seattle, Washington USA

based on invited lecture given May 3, 2011University of Illinois, Urbana-Champaign

Page 2: Participatory Modeling Methodology  on the Geospatial Web

Outline

1. What is the GeoWeb and how do we characterize it as the convergence of realms such as Spatial Data Infrastructure, Online Participatory GIS, Volunteer Geographic Information?

2. How might we couple architectures for the GeoWeb, e.g. using service-oriented architecture?

3. What is and how might we make use of Participatory Modeling Methodology?

4. What are some future directions for Geospatial Information Services?

Page 3: Participatory Modeling Methodology  on the Geospatial Web

1. GeoWeb Realmsof GIScience & Technology

• Spatial Data Infrastructure (circa 1990)

• Online Participatory GIS (circa 1999)

• Volunteer Geographic Information (circa 2005)

Look at a brief overview of these realms…

Page 4: Participatory Modeling Methodology  on the Geospatial Web

Motivation within realms

• SDI - increase data sharing

• OPGIS - broaden public governance and community voice

• VGI – enhance distributed information collection

All involve values, interests, and concerns, but perhaps from different perspectives…

Page 5: Participatory Modeling Methodology  on the Geospatial Web

US NSDI

Spatial Data Infrastructure, e.g. three levels

• 12 Federal Agencies – geoplatform.gov

• 50 States (National States Geographic Information Councils)

• Regional (e.g. Washington State Geographic Data Archive)

Page 6: Participatory Modeling Methodology  on the Geospatial Web

http://www.geoplatform.gov

Page 7: Participatory Modeling Methodology  on the Geospatial Web

About the Geospatial Platform• Federal agencies and their partners collect and manage

large amounts of geospatial data - but these data are often not easily found when needed or accessible in useful forms. The Geospatial Platform provides ready access to federally maintained geospatial data, services and applications. The content of all datasets and services demarcated with the Data.gov globe have been verified by the Agency to be consistent with Federal privacy, national security, and information quality policies. As an additional service to our users, we also provide access to data from our partners across State, Tribal, Regional and local governments as well as non-governmental organizations.

Page 8: Participatory Modeling Methodology  on the Geospatial Web
Page 9: Participatory Modeling Methodology  on the Geospatial Web

US Federal SDI – current architectureE

xter

nal

Use

rsIn

fras

tru

ctu

reP

rog

ram

s Lo

calizedS

hareab

leL

imited

Geo

D

ow

nlo

ad &

Lo

cal S

ervice Access

Data Administrators

Data.gov

Aware ofSupply Data, Map Services,

&Tools

DevelopersGeo enabled Searchand Visualization

Users

Discovery Use Suppliers

Data Management Systems Management Portfolio Management

Data.gov Geospatial Capability – Without Geo Platform

Server

Data

ServerDevelopers

Server

Geodata

Server

Geodata

Geodata

Data DownloadMap Services

Data DownloadMap ServicesData Download

Jerry Johnston, US EPA, presentation to NGAC “Status Update: Geospatial Platform”http://www.fgdc.gov/ngac/meetings/march-2011/intergovernmental-subcommittee-update.pptx

Page 10: Participatory Modeling Methodology  on the Geospatial Web

US Federal SDI – next architectureE

xter

nal

Use

rs /

IT S

up

plie

rsIn

fras

tru

ctu

reP

rog

ram

s Lo

calizedS

hareab

le / Scalab

leE

xtensib

le / Accessib

le

Developers

PlatformManager

Data Administrators Portfolio &Investment Managers

IT Managers

Service Management · Configuration Control· Security / Identity Mgmt· Release Management· Capacity Planning· Performance· Service Desk

Contract Management Vehicles· Cloud Suppliers· Software Suppliers

Service ManagementService Level AgreementsCost Benefit AnalysisProduct & Service Catalog

Data.gov Geospatial Platform Platform ManagementSupport Services

PaaSSoftware Components

Software Libraries

Middleware

Geo Applications

Geo-ToolsGeo

Services

SaaS

ComputingPower

Data Stores

IaaS

Aware of

Aware of

Server

Data

Catalog as a Service

Supply Data

CoordinateIaaS

Developers

Develop in PaaS

Evaluate &Assess

CIO / GIO

Manage

Server

Data

Geo enabled Searchand Visualization

Access:· Advanced Geo Analytical Functionality· Geo Map and Feature Services· Flexible Data Delivery· Image Processing· Geo-processing· Metadata Editing / Management· Coordinate Transforms Mashup / Meshup

From SaaS

Abide by Contracts & Service Agreements

Users

Discovery Use Platform Supplier

Data Management Systems Management Portfolio Management

Data.gov Geospatial Capability – With Geo Platform

Supply Metadata

Jerry Johnston, US EPA, presentation to NGAC “Status Update: Geospatial Platform”http://www.fgdc.gov/ngac/meetings/march-2011/intergovernmental-subcommittee-update.pptx

Page 11: Participatory Modeling Methodology  on the Geospatial Web

US – States SDI LevelNational State Geographic Information Councils

GeoSpatial One-Stop Nodes; Metadata onlyhttp://wa-node.gis.washington.edu/geoportal/

Page 12: Participatory Modeling Methodology  on the Geospatial Web

Regional SDI levelWashington State Geospatial Data Archive

(WAGDA) 1.0

Page 13: Participatory Modeling Methodology  on the Geospatial Web

Acquiring Data

• Data Access– Multiple services in development

● supported - ○ unverified - (blank) not supported - (grey) not preferred

FunctionDirect

ConnectionGeodata Service

Image Service

Web Feature

Service/Web Coverage Service

Web Mapping Service

Geoportal

Fast data view ● ○ ○      

Remote data analysis ● ● ● ●    

Complete and ready metadata ● ● ●     ●Geodatabase versions ● ○ ○     ○Exportable data ● ● ● ●   ●Interoperability     ● ● ● ●Modifiable access permission ● ● ● ● ● ○Replication/Editing ● ● ● ●    

15

Page 14: Participatory Modeling Methodology  on the Geospatial Web

OPGIS

• Online Participatory GIS

• Widespread growth since 1999

Page 15: Participatory Modeling Methodology  on the Geospatial Web

OPGIS Niches

Page 16: Participatory Modeling Methodology  on the Geospatial Web

Support provided by the National Science Foundation Grant No. EIA 0325916, funded through the Information Technology Research Program, and managed in the Digital Government Program.

OPGIS example

Page 17: Participatory Modeling Methodology  on the Geospatial Web

VGI

• Volunteer Geographic Information

• Wide array of developments since 2005

Page 18: Participatory Modeling Methodology  on the Geospatial Web

VGI

SMS

Mashups and

Real-time feeds

Page 19: Participatory Modeling Methodology  on the Geospatial Web

VGI - balloon sensor launch

Page 20: Participatory Modeling Methodology  on the Geospatial Web

Balloon trajectory

Page 21: Participatory Modeling Methodology  on the Geospatial Web

Volunteer Geographic Information accuracy comparison of geocoded addresses

Page 22: Participatory Modeling Methodology  on the Geospatial Web

Synthesis across SDI-OPGIS-VGIWhat is being valued?

• SDI – people interested in efficient, effective, and equitable access to data

• OPGIS – people interested in stakeholder public values, goals, and concerns

• VGI – people interested in personal values, goals, concerns about what is important

Is their a convergence of “value” in light of geospatial information technology?

Page 23: Participatory Modeling Methodology  on the Geospatial Web

Shared interests?Common values?

All realms…

• Engage participants

• Enable participants

• Structure participation

…as human-computer-human interaction

…for data, information, evidence, and knowledge production on the GeoWeb

Page 24: Participatory Modeling Methodology  on the Geospatial Web

Coupling SDI-OPGIS-VGIS enables distributed and participatory GeoDesign

• GeoDesign – geography by design (Steinitz 2011)• For example, a regional stormwater runoff

monitoring network to better understand and act upon non-point source pollution

• GeoDesign can enable large-scale participatory monitoring designs using GIS

• GeoDesign as sustainability management requires SDI, OPGIS, and VGI resources configured into regional enterprise GIS also called consortium of GIS

Page 25: Participatory Modeling Methodology  on the Geospatial Web

2. Coupling SDI-OPGIS-VGIS

• What architecture design(s) might help us couple SDI-OPGIS-VGI resources?

• Service-oriented architecture (SOA) is an approach proposed by many

• SOA – a collection of protocols and components for getting service resources to work together

• SOA infrastructure connects…– Consumer services: User interface clients– Producer services: Data and software capabilities

Page 26: Participatory Modeling Methodology  on the Geospatial Web

Esri example of integration platform

http://www.esri.com/library/whitepapers/pdfs/geospatial-soa.pdf

Page 27: Participatory Modeling Methodology  on the Geospatial Web

Expansion of SOA Infrastructure, by example,

for coupling SDI-OPGIS-VGI

http://www.esri.com/library/whitepapers/pdfs/geospatial-soa.pdf

Page 28: Participatory Modeling Methodology  on the Geospatial Web

Methodology Helps Guide Coupling of SDI-OPGIS-VGIS Resources

• Coupling among three technology realms is a complex choice problem

• Need systematic approach to help guide coupling strategies

• Participatory Modeling Methodology brings diverse perspectives into play

Page 29: Participatory Modeling Methodology  on the Geospatial Web

3. Participatory Modeling Methodology(PMM)

• Approach that links system development, system use, and system evaluation to improve outcomes from systems.

• Participatory interaction modeling explores the science of interaction design

• Participatory interaction designs are intended to structure participation, while incorporating motivation and technology

Page 30: Participatory Modeling Methodology  on the Geospatial Web

What, Why, and How of Coupling?

• What resources are to be coupled?

• Why are resources to be couple?

• How are resources to be coupled?

Page 31: Participatory Modeling Methodology  on the Geospatial Web

A Framework for Participatory Interaction Modeling

Monitor event logs of online

activity

Create and calibrate activity

models

Improve development

artifacts

3 Cyber-System

Evaluation

1Cyber-System Development

2Cyber-System

Use

three roles in human-computer-human interaction:(1) developer, (2) user, (3) analyst

What coupling is needed?

Why is coupling needed? How is coupling performing?

Page 32: Participatory Modeling Methodology  on the Geospatial Web

Three domains anchor the GeoWeb design loop

1) Cyber-Systems development incorporate participatory technologies

2) Cyber-Systems use by participants address pervasive complex problems

3) Cyber-Systems evaluation involve social-behavioral studies to improve designs

Page 33: Participatory Modeling Methodology  on the Geospatial Web

LIT OPGIS - Current Development

Page 34: Participatory Modeling Methodology  on the Geospatial Web

OPGIS - Future Development

Page 35: Participatory Modeling Methodology  on the Geospatial Web

System log: Client-server interaction “events” captured during decision makingoccur in time and space

User’s home location or home zip code

Client-server interaction “event”

Server locationUW

Time

Space

System Use

Page 36: Participatory Modeling Methodology  on the Geospatial Web

Spatio-temporal Timeline: Three Counties around Seattle, WA, October 11 – November 25, 2007

October 18 – October 23, 2007

Entire Timeline:245 registered users

120,396 client-server “events” One Day:81 users7,272 “events”

What it suggests: Evolving structure of an analytic-deliberative network constructed from client-server interaction “events”

System Evaluation

Page 37: Participatory Modeling Methodology  on the Geospatial Web

0%

25%

50%

75%

100%

1a 1b 1c 2a 2b 3a 3b 3c 4a 4b 5a 5b

LIT Sub-Step

Tim

e (M

Inu

tes)

Percent of Quota Subjects Still Actively Participating

Average Time Quota Subjects Spent Online

Octo

ber

15,

2007

Oct

ober

22,

20

07

Oct

ober

25,

20

07

Novem

ber

1,

20

07

Novem

ber

7,

20

07

Novem

ber

13,

2007

15 minutes

30 minutes

What it suggests: Participant activity contained peaks and valleys of intensity

Sub-Step 1b and 1c

Sub-Step 5a

Sub-Step 3c and 4a

Page 38: Participatory Modeling Methodology  on the Geospatial Web

Roles for Tightening the Participatory Design Loop

among the Three Domains

X = Produced by X = Consumed by

Artifact Abstraction Level

DeveloperRole

User Role

Analyst Role

Use Case Narrative X X X

Class Diagram X X X

Activity Model X X X

Architecture Diagram X X X

Mock-up X X X

Prototype X X X

Event Log X X X

Page 39: Participatory Modeling Methodology  on the Geospatial Web

Design Loop Deliverables

Tightening the GeoWeb design loop improves outcomes for:

• Participatory GeoWeb technology design

• Effectiveness of complex problem solving

• Participatory workflow patterns of knowledge production

Page 40: Participatory Modeling Methodology  on the Geospatial Web

Research Focus PMM on GeoWeb

PMM - linking system development, use and evaluation

…on theGeoWeb - coupling of SDI, OPGIS, and VGI

…enables many research directions, but two in particular…

1) Spatio-temporal modeling for GeoDesign

2) Scaling participation

Page 41: Participatory Modeling Methodology  on the Geospatial Web

1) Spatio-temporal Modeling for GeoDesign

• How can we better couple SDI, OPGIS, and VGI services to enable geodesign of green infrastructure improvements for stormwater runoff management and monitoring of water quality in the Puget Sound region?

Page 42: Participatory Modeling Methodology  on the Geospatial Web

2) Scaling participation• How can coupling services help us understand

convergence of SDI, OPGIS, and VGI to scale participation?

Scaling involves:a) down-up : scaling up moves the research

toward topics about regional places b) in-out : scaling out moves the research toward

very large numbers of people participating c) low-high : scaling high moves the research

toward nuanced analyses and rich deliberative processes

Page 43: Participatory Modeling Methodology  on the Geospatial Web

4. Conclusions • Cyberinfrastructure-enabled GeoWeb provides

an opportunity to connect with others with similar interests more than ever before

• Need systematic and robust, but at the same time comprehensive and flexible cyber-enabled frameworks, for participatory systems design

• Synergistic activity among SDI, OPGIS, and VGI developments can help formulate consortium GIS for regional governance

• Add a fourth realm, i.e., high-performance computing, perspective to characterize PMM for CyberGIS on the GeoWeb

Page 44: Participatory Modeling Methodology  on the Geospatial Web

Research Directions• Synthesize comparative architectures that lead to

improved designs of GeoWeb solutions; computer-enabled case study synthesis

• Tighten the design (feedback) loop characterized using metrics for development, use and evaluation

• Focus on support for participatory geospatial thinking, learning and decision making using cyber-enabled tools characterized in terms of those metrics.

• Adding a fourth realm focusing on high performance computing will expand this activity to CyberGIS

Page 45: Participatory Modeling Methodology  on the Geospatial Web

Acknowledgements

• Much of this presentation was prepared while on sabbatical at the University of Otago, Dunedin, New Zealand (Spring 2011) on a William Evans Fellowship together with Dr. G. Brent Hall and Dr. Piotr Jankowski, San Diego State University. Thanks to both of them for interesting discussions.

• LIT research supported by National Science Foundation Grant No. EIA 0325916, funded through the Information Technology Research Program, and managed in the Digital Government Program.

• VCC Research funded by the National Oceanic and Atmospheric Administration, Climate Program Office, Sectoral Applications Research Program #NA07OAR4310410.

• PIM Research funded by the National Science Foundation Grant No. BCS-0921688, Geography and Spatial Sciences Program

• CyberGIS Research funded by the National Science Foundation Grant No. OCI-1047916 Office of Cyberinfrastructure, Software Institutes, Cross-Directorate Active Programs, Geography and Spatial Sciences, and Method, Measure & Statistics Programs.

• Researchers alone are responsible for any and all of the errors.

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