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462 - Well-posed use of colour in visualisations for data inference in Antarctic sciences


Morse, P and Reading, A and Staal, T and Turner, R and Walters, S, 462 - Well-posed use of colour in visualisations for data inference in Antarctic sciences, Scientific Committee on Antarctic Research (SCAR) Open Science Conference 2020: Antarctic - Global Connections, 3-7 August 2020, Online (2020) [Conference Extract]

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Antarctic sciences are progressing through the increasing use of remote sensing data, data compilations, and geophysical models that rely on visualisations, for example coloured contour maps, as the key medium of knowledge discovery. Such data-driven approaches benefit from careful attention to 'visual literacy' in parallel with good written or spoken communication. Antarctic research has a more frequent need for good management of resolution changes, data gaps and uncertainty than is common for other continents. Using a recently published software suite that enables researchers to make well-posed colour choices, we present a set of colour maps that are suited to the display of Antarctic geophysics data and models. These colour maps consider human perception, and hence maximise the chance of feature discovery within a given datasets, and also minimise the possibility of a mistaken inference due to artefacts of the display process. We also show some workflows that provide an exemplar of the use enhanced graphics capability such as opacity that enable the better management of patchy coverage. We also provide exemplars of visualisation techniques and colour optimisation for rapid display and exploration of volumetric data. We hope that our colourmaps will find wide usage within Antarctic Sciences, and related disciplines. We also anticipate that wider use of enhanced capability with opacity will help researchers to progress knowledge discovery, finding insights from their data, in the case of resolution challenges and analysis of multiple datasets that are commonly encountered in Antarctic research.

Item Details

Item Type:Conference Extract
Keywords:data visualisation, Antarctica
Research Division:Earth Sciences
Research Group:Geoinformatics
Research Field:Geoscience data visualisation
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Morse, P (Dr Peter Morse)
UTAS Author:Reading, A (Professor Anya Reading)
UTAS Author:Staal, T (Dr Tobias Staal)
UTAS Author:Turner, R (Dr Ross Turner)
UTAS Author:Walters, S (Mr Stephen Walters)
ID Code:143897
Year Published:2020
Deposited By:Earth Sciences
Deposited On:2021-04-09
Last Modified:2021-06-18

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