CoreWall: A Visualization Environment for the Analysis of Lake and Ocean Cores Arun Rao – Electronic Visualization Lab, University of Illinois at Chicago Bill Kamp – Insight Access Group Partners Emi Ito, Paul Morin, Doug Schnurrenberger, Anders Noren – Limnological Research Center, University of Minnesota Frank Rack – Joint Oceanographic Institutions Andrew Johnson, Luc Renambot, Jason Leigh – Electronic Visualization Lab, University of Illinois at Chicago GSA Annual Meeting & Exposition Nov. 8, 2004 – Denver, Colorado
Transcript
CoreWall: A Visualization Environment for the Analysis of Lake and Ocean Cores
Arun Rao
– Electronic Visualization Lab, University of Illinois at Chicago
Bill Kamp
– Insight Access Group Partners
Emi Ito, Paul Morin, Doug Schnurrenberger, Anders Noren
– Limnological Research Center, University of Minnesota
Frank Rack
– Joint Oceanographic Institutions
Andrew Johnson, Luc Renambot, Jason Leigh
– Electronic Visualization Lab, University of Illinois at Chicago
GSA Annual Meeting & Exposition
Nov. 8, 2004 – Denver, Colorado
Nov 8, 2004 Electronic Visualization Lab –
University of Illinois at Chicago
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Introduction
• Personal Background
• Experiences in Geosciences– Summer Internship at Limnological Research
Center of Univ. of Minnesota at Twin Cities• Trained as a core lab tech.• Exposed to the Initial Core Description process
– Ship time on JOIDES Resolution
Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago
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Goal and Objective
• Improve the ICD process• Digital Line Scan Images
– High resolution meter long sections • (100 pixels / cm ) • Properly lit, Properly focused
– Need to be taken advantage of
• Currently a chore to get core logs onto ICD pages
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Goal and Objective
• Ideal Starting Point– Provide display
system– Integrate images
and sensor logs– Annotations– Database
Integration
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Personal GeoWall - 2
• Single PC Display System– Drives six screens– Two screens can be
used for polarized stereo
• Adjustable layout• High Resolution
– 1600x1200 displays– ~11 Megapixels– Can see cores at full
resolution
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Images and Sensor Logs
• Images of core sections serve as logical blocks
• Graph multiple sets of data on top of image – Data massaged from multi-sensor track– Graphed using relative scale
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Images and Sensor Logs
• Multiple – Data sets– Graphs to a section– Sections to a hole– Holes
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Not just see,…
• Need to interact with data
– Bring out useful information
– Communicate ideas
• Annotate
– Text
– Images
– Correlative
• Examples from an Integrated Ocean Drilling Program's preliminary report on right
• Data Manipulation
– Resizing of segments
– Log data resize with segments
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Databases
• Used to store/manage– Images, Data– Annotations– Chronology of work, Ownership
• Make use of databases like– JANUS of Integrated Ocean Drilling Program at
Texas A & M.– LRCVault of UMN
LRCVault Database
• Automatically presents uploaded files for presentation in a web page.
• Data files are automatically viewable using the browser’s file associations.
• Using ODBC, curl or wget we scrape data from other systems into the database using scripts.
• The system supports dynamic synchronization: Remote copies of the root system are automatically kept up to date using MySql synchronization
• Large data sets are retrieved from the root system to the remote systems on demand.
• Data added to the remote systems can be integrated back to the root system as needed.
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Database Integration/Interfacing
• Retrieve data from remote database– Images (full resolution, thumbnails)– Sensor logs– Perform searches
• Features to Add:– Upload resulting work– Keep chronology of work
• “Who worked on what?”• “Who started off another person’s work?”
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Future Work
• Improve usability (e.g. customized scales)
• Data manipulation & annotation
• Increased integration with databases– Collaborate with IODP/TAMU for JANUS– Keep application in framework to allow
integration with other databases
• Try to provide scientists with application to do science
Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago
