TITLE:

4-Dimensional Visual Delivery of Big Climate Data: Database, Web Server, and End-User Browser Computing

DATE:

Friday, October 6th, 2017

TIME:

3:30 PM

LOCATION:

GMCS-314

SPEAKER:

Drs. Julien Pierret and Sam Shen, Department of Mathematics and Statistics.

ABSTRACT:

This presentation will describe the 4-Dimensional Visual Delivery (4DVD)
technology for big climate data recently developed at SDSU by Julien Pierret
and Sam Shen (Pierret, J., and S.S.P. Shen, 2017: 4D visual delivery of
big climate data: A fast web database application system. Advances in
Data Science and Adaptive Analysis, 9, DOI: 10.1142/S2424922X17500061.)
The delivery system shows climate data in a 4D space-time box and allows
users to visualize the data before making a download. Users can zoom in or
out to help identify desired information for particular locations. Data
can then be downloaded for the spatial maps and historical climate time
series of a given location after the maps and time series are identified
to be useful. These functions enable a user to quickly reach the core
interested features without downloading the entire database in advance,
which saves both time and storage space. The 4DVD’s distinct data visualization
features make the system a potentially convenient and attractive multimedia
big-data delivery tool for hospitals, classrooms, museums, and households.
The group is now collaborating with the Harvard Medical School on instant
remote access to the human brain MRI data.

HOST:

Dr. Jose Castillo

DOWNLOAD:

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