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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

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CoreWall: A Visualization Environment for the Analysis of Lake and Ocean Cores

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  1. 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 CoreWall: A Visualization Environment for the Analysis of Lake and Ocean Cores

  2. 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 Electronic Visualization Lab – University of Illinois at Chicago Nov 8, 2004 2

  3. 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 Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 3

  4. Goal and Objective • Ideal Starting Point • Provide display system • Integrate images and sensor logs • Annotations • Database Integration Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 4

  5. 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 Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 5

  6. 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 Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 6

  7. Images and Sensor Logs • Multiple • Data sets • Graphs to a section • Sections to a hole • Holes Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 7

  8. 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 Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 8

  9. 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 Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 9

  10. 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. Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 10

  11. 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?” Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 11

  12. 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 12

  13. Thank you • Funded by NSF Grant # EAR 0218918 • Visit us at • JOI Booth # 101 • http://www.evl.uic.edu • http://www.iagp.net • http://lrc.geo.umn.edu • http://www.joiscience.org • Questions? Nov 8, 2004 Electronic Visualization Lab – University of Illinois at Chicago 13

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