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Data Mining, Image Formation, Visualization ==> EarthScope Framework, Data Structures

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taylor-owens
6 diapositives · 204 Views · Nov 09, 2014

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

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Data Mining, Image Formation, Visualization ==> EarthScope Framework, Data Structures
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  1. 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

  2. ANALYSIS FLOWS (KNOWLEDGE PATHS) Schematic of Slide Shown Earlier By Geoffry Fox (Monday afternoon, March 25). DATA STRUCTURE Flows Vary DATA SOURCE Raw data Raw data branches (Web) Service SERVICES EARTHSCOPE FRAMEWORK Data Mining, Imaging/ Analysis, Visualization iterations MIDDLE TIER USER Portal

  3. DATA STRUCTURES *EarthScope has all Data Types: point matrix vector volume time series volume & time (4D) polygon/surface * 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).

  4. 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).

  5. 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.

  6. 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).