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

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 mediumof knowledge discovery. Such data-driven approaches benefit from careful attention to '...

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Bibliographic Details
Main Authors: Morse, P, Reading, A, Staal, T, Turner, R, Walters, S
Format: Conference Object
Language:English
Published: Scientific Committee on Antarctic Research (SCAR) 2020
Subjects:
Online Access:http://ecite.utas.edu.au/143897
Description
Summary: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 mediumof knowledge discovery. Such data-driven approaches benefit from careful attention to 'visual literacy' inparallel with good written or spoken communication. Antarctic research has a more frequent need for goodmanagement 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, wepresent a set of colour maps that are suited to the display of Antarctic geophysics data and models. Thesecolour maps consider human perception, and hence maximise the chance of feature discovery within agiven datasets, and also minimise the possibility of a mistaken inference due to artefacts of the displayprocess. We also show some workflows that provide an exemplar of the use enhanced graphics capabilitysuch as opacity that enable the better management of patchy coverage. We also provide exemplars ofvisualisation 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. Wealso anticipate that wider use of enhanced capability with opacity will help researchers to progressknowledge discovery, finding insights from their data, in the case of resolution challenges and analysis ofmultiple datasets that are commonly encountered in Antarctic research.