Role of data management in discipline-independent data visualization

Lloyd A. Treinish

doi:10.1117/12.19993

1 August 1990 Role of data management in discipline-independent data visualization

Lloyd A. Treinish

Proceedings Volume 1259, Extracting Meaning from Complex Data: Processing, Display, Interaction; (1990) https://doi.org/10.1117/12.19993
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

Despite the advancement ofvisualization techniques for scientific data over the last several years, there are still significant problems in bringing thday's technology into the hands ofthe typical scientist. For example, there are other computer science domains outside of computer graphics like data management that are required to make visualization effective. One role ofdatamanagement can be expressedby the need for a class ofdata models that is matched to the structure of scientific data as well as to how such data may be used. Unfortunately, the critical component of data management is typically missing in most visualization systems. Traditional methods ofhandling scientific data such as flat sequential files are generally inefficient in storage, access or ease-of-use for large complex data sets particularly for applications like visualization. Modern, commercial relational data management systems do not offer an effective solution because they are oriented towards business applications. The relational model does not accommodate multidimensional or hierarchical structures often found in scientific data sets nor provide adequate performance for the size, complexity and type ofaccess dictated by such data sets. In contrast, these data base management systems have been quite viable for a large class ofnon-spatial metadata management. There is a need for a data (base) model that possesses elements of a modern data base management system but is oriented toward scientific data sets and applications. Such a model must be easy to use, support large diskbased data sets and accommodate scientific data structures. The NSSDC's Common Data Format (CDF) is one implementation of a scientific data model, which provides abstract support for a class of data that can be described by a multidimensionalbiock structure. Although alldata do notuit within this framework, alarge variety of scientific data do.

Citation Download Citation

Lloyd A. Treinish "Role of data management in discipline-independent data visualization", Proc. SPIE 1259, Extracting Meaning from Complex Data: Processing, Display, Interaction, (1 August 1990); https://doi.org/10.1117/12.19993

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available