visualizingterrestrial-aquatic systems...
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VISualizing Terrestrial-Aquatic Systems
(VISTAS)
software & visualization to
better understand & communicate
Grand Challenge Environmental Science
http://blogs.evergreen.edu/vistas, [email protected]
VISualizing Terrestrial-Aquatic Systems
(VISTAS)
software & visualization to
better understand & communicate
Grand Challenge Environmental Science
http://blogs.evergreen.edu/vistas, [email protected]
•Motivation
Cushing – VISTAS Overview August 2011 July 2011 – 2014, BIO/ABI 1062572
•Motivation
• The project
• Prior work leading to award
Barbara Bond, Denise Lach, Mike Bailey
John Bolte, Christoph Thomas
Oregon State University
Susan Stafford
University of Minnesota,
M. Stiegliz, Georgia Tech
Ed Rastetter, Woods Hole
Evergreen Faculty?
Computer Scientists from UW, PSU, OSU,
Willamette….
VISualizing Terrestrial-Aquatic Systems
(VISTAS)http://blogs.evergreen.edu/vistas
VISualizing Terrestrial-Aquatic Systems
(VISTAS)http://blogs.evergreen.edu/vistas
Project Overview (Motivation & Goals)
Cushing – VISTAS Overview August 2011
Project Overview (Motivation & Goals)
Current Status / Visualizations
Ancillary Activities and Broader Impacts….
Prior Work Leading to the Award….
CanopyDB &CanopyView
(Why Evergreen as VISTAS’ Home Institution?)
*BIO/ABI 1062572
VISualizing Terrestrial-Aquatic Systems
(VISTAS)http://blogs.evergreen.edu/vistas
VISualizing Terrestrial-Aquatic Systems
(VISTAS)http://blogs.evergreen.edu/vistas
HJAs Cyber- and Digital- Forests create a LOT of data….
…not unlike the data deluge facing all scientists….
These data have tremendous research potential,
Cushing – VISTAS Overview August 2011 BIO/ABI 1062572
These data have tremendous research potential,
But scientists are (already) drowning in data….
Could data visualization help?
… intuit testable hypotheses?
… refine models?
… validate data?
… communicate results?
VISualizing Terrestrial-Aquatic Systems
VISTAS
VISualizing Terrestrial-Aquatic Systems
VISTAS“Map-based visualizations and charts…communicate results well
to scientists, but this is less true for other stakeholders [dl2].”
Cushing – VISTAS Overview August 2011 4
Duncan, Sally and Denise Lach. 2006.
Privileged Knowledge and Social Change:
Effects … of Using GIS … in Natural Resource Management.
Environmental Management 38(2): 267-285.
VISualizing Terrestrial-Aquatic Systems
(VISTAS)
VISualizing Terrestrial-Aquatic Systems
(VISTAS)
Cushing – VISTAS Overview August 2011 BIO/ABI 1062572
Eco-hydrologic modeling on Complex Topography:
Integrate & Scale Up Data from Plots to Region,
from Days to Centuries
VISTAS Research Goals VISTAS Research Goals
Computer Science R&D Env.Science Research Social Science Inquiry
Judith Cushing, Evergreen
Michael Bailey, OSU
Barbara Bond, HJA
Bob McKane, EPA
Marc Stieglitz, Ga. Tech
Christophe Thomas, OSU
Denise Lach, OSU
Study Co-development &
Cushing – VISTAS Overview August 2011
Christophe Thomas, OSU
Ed Rastetter, Woods Hole
….
Co-develop Visualizations and Software
Study Co-development &
Ask: Which
Visualizations Work?
With whom? Why?
Northwest Computer Science Consortium to Enhance the Study of Climate Change
Burnett, Delcambre, Maier, Orr, Shapiro, Suciu
Outreach to Practitioners
Susan Stafford, U. Minn
VISTAS Current Status / Visualizations VISTAS Current Status / Visualizations
Cushing – VISTAS Overview August 2011
forest stand
catchment
basin
VISTAS Current Status / Visualizations VISTAS Current Status / Visualizations
Soil moisture
Cushing – VISTAS Overview August 2011
High values are blue, low values, red.
March 2, 1994 March 10, 1994
soil moisture & dissolved inorganic
nitrogen side-by-side.
VISTAS Current Status / ArchitectureVISTAS Current Status / Architecture
Cushing – VISTAS Overview August 2011
Ancillary Activities & Broader Impacts…. Ancillary Activities & Broader Impacts….
• Survey Visual Analytics at LTER Sites
• Integrate use of LTER Ecology Data into Teaching QM
• Use visualizations for science outreach?
• Deliver interdisciplinary CS/Ecology Undergrad Curriculum
• Interest Middle School Girls by Ecology Visualization
Cushing – VISTAS Overview August 2011
• Interest Middle School Girls by Ecology Visualization
• Work with Native Americans and “Science Stories”
• Raise CS Awareness of “Interesting” Ecology Problems
• Bring recent CS research to bear on this problem
• Describe dynamics of scientific software development….
Prior work (inspiring &) leading to awardCanopyDB, CanopyView
Grasslands Data Integration, EEON
Nalini Nadkarni, Lee Zeman, Nik Molnar,
Anne McIntosh, Dylan Fischer, Carri Leroy
Cushing – VISTAS Overview August 2011 12
And, Evergreen Interdisciplinary
Prob lem Oriented Curricular Approach
Data
Collection
Data
Archiving
Ecology Data Management (traditionally)
Long Term Data
for
Climate Change
Research &
Mitigation,
&
Cushing – VISTAS Overview August 2011 13
&
Resource
Management
ECOLOGICAL DATA MANAGEMENT …alternatively
ARCHIVE
Cushing – VISTAS Overview August 2011 14Data Collection/Generation Stockpile
ARCHIVE
Data
Metadata
Information Entropy over TimeInformation Entropy over TimeIn
form
ati
on
Co
nte
nt
Time of publication
Specific details
General details
Information usefulness at 10 years, 20
years, 30 years…
Cushing – VISTAS Overview August 2011
Time
Info
rmati
on
Co
nte
nt
Retirement or
career change
DeathAccident
after Michener et al., 1997
From knb.ecoinformatics.org
Information Entropy over TimeInformation Entropy over TimeIn
form
ati
on
Co
nte
nt
Time of publication
Specific details
General details
Information usefulness at 10 years, 20
years, 30 years…
Cushing – VISTAS Overview August 2011
Time
Info
rmati
on
Co
nte
nt
Retirement or
career change
DeathAccident
after Michener et al., 1997
From knb.ecoinformatics.org
Canopy Database Project VisionCanopy Database Project Vision
Database technology can ease your data management, data entry, validation,
archiving, metadata provision, and data mining for synthesis
Cushing – VISTAS Overview August 201117
Researchers aren’t programmers, so…
The tools must be easy to use &
research productivity….
Access is “pretty easy”…..
Researchers aren’t programmers, so…
The tools must be easy to use &
research productivity….
Access is “pretty easy”…..
BUT
A Relational Database ExampleA Relational Database Example
Cushing – VISTAS Overview August 2011
Each “place” has one or more stems (1..m relationship)
Each “stem” has one or more branches.
How do you know which place a particular stem is associated with?
Each “place” has one or more stems (1..m relationship)
Each “stem” has one or more branches.
How do you know which place a particular stem is associated with?
An Even More Complex Example!
(real world dataset)
An Even More Complex Example!
(real world dataset)
Cushing – VISTAS Overview August 2011
Canopy DataBank: From Database Technology aimed at archiving…
Canopy DataBank: From Database Technology aimed at archiving…
Study
Design
Field
Work
Data
Entry &
Verification
Data
Analysis
Data
Sharing
(w/in Group)
Journal
Publication
Data
Archive
Data
Mining
Metadata Generation
Cushing – VISTAS Overview August 2011 21
Data and metadata capture
Data validation (against metadata)
Data Visualization
Database and Protocol Design
Research Reference Tools
Archive in Lab(common types)
Information Synthesis
Metadata Generation
Statistical analysis
…to CanopyView:Data Visualization & Analysis: Data Analytics
…to CanopyView:Data Visualization & Analysis: Data Analytics
Study
Design
Field
Work
Data
Entry &
Verification
Data
Analysis
Data
Sharing
(w/in Group)
Journal
Publication
Data
Archive
Data
Mining
Metadata Generation
Cushing – VISTAS Overview August 2011 22
Data and metadata capture
Data validation (against metadata)
Database and Protocol Design
Research Reference Tools
Archive in Lab(common types)
Information Synthesis
Metadata Generation
Visual analytics
Visual analytics
CanopyView… sometimes 2D is better....CanopyView… sometimes 2D is better....
Canopy View
Cushing – VISTAS Overview August 2011 24