Visual Strategies for Heterogeneous Data: Network Analyses in Earth and Space Sciences
Authors
Fox, Peter
Prabhu, Anirudh
Parsons, Mark
ORCID
No Thumbnail Available
Other Contributors
Issue Date
2018
Keywords
Degree
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 United States
Full Citation
Fox P, Prabhu A, Parsons M and the DTDI team (2018) Visual Strategies for Heterogeneous Data: Network Analyses in Earth and Space Sciences, EGU.
Abstract
Recent successes in the application of complex network theory (including multi-partite) and algorithms to how
minerals, fossils and proteins evolve over billions of years, have raised expectations that more general graphbased approaches offer the opportunity for new discoveries – more needles in the haystacks. The science goal
is to explore how the geosphere and biosphere may have co-evolved under the influence of the super-continent
cycle and increases in oxygen in the atmosphere and oceans. A key approach to reaching this goal has been
representing large or multi-dimensional data in visual forms through a highly collaborative process that teams
analytics specialists with domain scientists, The collaborators can then use visual analytics to spur quantitative
analytics, dimension reduction, clustering, etc. Central to exploring this data space is the movement from twodimensional spatial representations to three-dimensions as well as capturing additional data dimensions with color
and size of network nodes, and strength of connections in gravity-based, force-directed renderings animated in
time. As network/ graph densities increase, virtual reality becomes a natural way to enter and navigate the network
space. This PICo presentation will explore data-rich network analyses for solid Earth geoscience, using illustrative
examples in mineral and fossil evolution and offer future paths for consideration.
Description
Department
Publisher
EGU