Enabling Crosscutting Visualization for Geoscience.


Journal

IEEE computer graphics and applications
ISSN: 1558-1756
Titre abrégé: IEEE Comput Graph Appl
Pays: United States
ID NLM: 9881869

Informations de publication

Date de publication:
Historique:
entrez: 14 1 2021
pubmed: 15 1 2021
medline: 15 1 2021
Statut: ppublish

Résumé

Our world is a complex ecosystem of interdependent processes. Geoscientists collect individual datasets addressing hyperspecific questions, which seek to probe these deeply intertwined processes. Scientists are beginning to explore how investigating relationships between disciplines can foster richer and more holistic research, but visualization tools are conventionally designed to address hyperspecific, rather than holistic, analysis. Bridging the vast wealth of available data will require new tools. Visualization has the potential to support holistic cross-disciplinary analysis to understand the complex innerworkings of our world, but doing so requires a paradigm shift to understand how visualization might enable lines of inquiry transcending traditional disciplinary boundaries. We present challenges for visualization in fostering such holistic geoscience analyses.

Identifiants

pubmed: 33444130
doi: 10.1109/MCG.2020.3043982
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

49-57

Auteurs

Classifications MeSH