iSamples (Internet of Samples): Efficient Geo-related records 3D Visualization for large datasets and the UI design

Gan, Quan; Vieglais, Dave; Cui, Hong; Mandel, Danny; Ramdeen, Sarah; Song, Sarah Hyunju; Richard, Stephen M.; Deck, John; Kansa, Eric C.; Kansa, Sarah Whitcher; Kunze, John; Lehnert, Kerstin; Meyer, Christopher; Snyder, Rebecca; Walls, Ramona L.

Permalink

https://hdl.handle.net/2142/117371 Copy

Description

Title

iSamples (Internet of Samples): Efficient Geo-related records 3D Visualization for large datasets and the UI design

Author(s)

• Gan, Quan
• Vieglais, Dave
• Cui, Hong
• Mandel, Danny
• Ramdeen, Sarah
• Song, Sarah Hyunju
• Richard, Stephen M.
• Deck, John
• Kansa, Eric C.
• Kansa, Sarah Whitcher
• Kunze, John
• Lehnert, Kerstin
• Meyer, Christopher
• Snyder, Rebecca
• Walls, Ramona L.

Issue Date

2023-03-13

Keyword(s)

• iSamples
• 3D Visualization and Large Geospatial Datasets
• Material Samples

Abstract

The Internet of Samples (iSamples) project, funded by the U.S. National Science Foundation, is a multi-disciplinary and multi-institutional project to design, develop, and promote service infrastruc- ture that will provide services for globally unique, consistent, and conve- nient identification of material samples; metadata about them; and linking them to other samples, derived data, and research results published in the literature. One of the iSamples infrastructures is a web application (iSamples UI) to support search and discovery functionalities of large material sample repositories. The web application employed CesiumJS and custom features for efficient 3D visualization and information discovery in geo-related datasets and is the first platform to employ a 3D visual- ization earth map in the material sample area. The user interface has received overwhelmingly positive feedback on its performance and user experience. In this poster, we shared some of the tips for implementing this high-performing application.

Publisher

iSchools

Series/Report Name or Number

iConference 2023 Proceedings

Type of Resource

• Other
• text

Language

eng

Handle URL

https://hdl.handle.net/2142/117371

Copyright and License Information

Copyright 2023 is held by Quan Gan, Dave Vieglais, Hong Cui, Danny Mandel, Sarah Ramdeen, Sarah Hyunju Song, Stephen M. Richard, John Deck, Eric C. Kansa, Sarah Whitcher Kansa, John Kunze, Kerstin Lehnert, Christopher Meyer, Rebecca Snyder, and Ramona L. Walls. Copyright permissions, when appropriate, must be obtained directly from the author.

Owning Collections