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Colour maps for fisheries acoustic echograms

Blackwell, Robert ORCID: https://orcid.org/0000-0002-0554-8062; Harvey, Richard; Queste, Bastien Y.; Fielding, Sophie ORCID: https://orcid.org/0000-0002-3152-4742. 2020 Colour maps for fisheries acoustic echograms. ICES Journal of Marine Sciences, 77 (2). 826-834. https://doi.org/10.1093/icesjms/fsz242

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© International Council for the Exploration of the Sea 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract/Summary

Echograms are used to visualize fisheries acoustic data, but choice of colour map has a significant effect on appearance. Quantitative echograms should use colour maps, which are colourful (have a perceived variety and intensity of colours), sequential (have monotonic lightness), and perceptually uniform (have consistency of perceived colour contrast over their range). We measure whether colour maps are colourful (⁠Mˆ(3)>0⁠), sequential (⁠rs=±1⁠), and perceptually uniform (ρ = 1) using an approximately perceptually uniform colour space (CIELAB). Whilst all the fisheries acoustic colour maps tested are colourful, none is sequential or perceptually uniform. The widely used EK500 colour map is extremely colourful (⁠Mˆ(3)=186⁠), not sequential (⁠rs=0.06⁠), and has highly uneven perceptual contrast over its range (⁠ρ=0.26⁠). Of the fisheries acoustic colour maps tested, the Large Scale Survey System default colour map is least colourful (⁠Mˆ(3)=79⁠), but comes closest to being sequential (⁠rs=−0.94⁠), and perceptually uniform (⁠ρ=0.95⁠). Modern colour maps have been specifically designed for colour contrast consistency, accessibility for viewers with red-green colour-blindness, and legibility when printed in monochrome, and may be better suited to the presentation and interpretation of quantitative fisheries acoustic echograms.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1093/icesjms/fsz242
ISSN: 1054-3139
Additional Keywords: acoustic, colour, echogram, visualization
Date made live: 03 Jan 2020 14:37 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/526342

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