Transcript No Slide Title

Data Mining, Image Formation, Visualization
==> EarthScope Framework, Data Structures
and Services
Group F
Leaders: David Okaya, David Yuan,
Geoffrey Fox
EarthScope/ITR
March 27, 2002
ANALYSIS FLOWS (KNOWLEDGE PATHS)
Schematic of Slide Shown Earlier By Geoffry Fox
(Monday afternoon, March 25).
DATA
SOURCE
Raw data
DATA
Raw data STRUCTURE
Flows Vary
branches
(Web) Service
SERVICES
EARTHSCOPE
FRAMEWORK
Data Mining,
Imaging/
Analysis,
Visualization
MIDDLE
TIER
USER
Portal
iterations
DATA STRUCTURES
*EarthScope has all Data Types:
point
vector
time series
polygon/surface
matrix
volume
volume & time (4D)
* Plus Higher Level Application Data Structure
e.g., F.E. mesh, F.D. volume, Kirchhoff imaging volume
ES/IT ACTION ITEM (Needs to be done fairly early):
(A) Define EarthScope Data Structures.
- Broad definitions common to all.
- Foundation for an EarthScope Framework.
(B) Define EarthScope Framework.
- Provides commonality and communication between services.
- Define up to the level of EarthScope observable data.
- Build upon this basic definition to describe particular datasets
(done by discipine).
SERVICES
(A) Community Contributed Services (research).
(B) EarthScope Provided Services.
EarthScope does not have to produce; can access existing
(distributed) products.
- Visualization Service: (commercial, open source)
Needs: 3D, 4D, overlay, georeferenced.
- Registration Service: different datasets into common reference
system [e.g., GIS].
- Simple data mining tools: exist, new research mining tools will
eventually become contributed as a standard service.
- Data Aggregation Service: combine different datasets to form meta-sets.
- Higher level Application Data Structure Service:
(e.g., interpolation of Finite Element mesh).
SERVICES (Cont'd.)
- Basic Data Processing Service:
For each data type provided by EarthScope.
e.g., GPS, seismic reflection processing, interferometry.
- Well-established Analysis Application Service:
Contributed research codes which are no longer topics of research.
- Statistical Analysis Service.
PILOT PROJECTS
(ES A.I.) Definition of core data structures (EarthScope Framework) and
essential Services. Pilot test.
* GIS structure and its relation to EarthScope data structures.
* Leverage an existing effort by incorporation into the EarthScope
framework, apply services, visualize.
- GEM:
input products, data mining.
- SCEC/ITR pathways, community fault/velocity models.
- existing NSF-CD project (e.g., SHIPS -> plug into simulation for
EQ response).
- Las Vegas basin geophysical community model (UNLV/UNR).
- another working group's pilot project
(e.g., Salt Lake City to Parkfield simulation).
* End-to-end seismic imaging. (e.g. Kirchhoff imaging from raw data).