An Artificial Bee Colony-based Algorithm to Automatically Create Colour Schemes for Geovisualizations

Wu, Minxian; Chen, Taisheng; Wang, Hong; Lv, Guonian; Li, Huien; Jing, Zhao; Yi, Tao

doi:10.1080/00087041.2018.1507182

Cited by 6 publications

(2 citation statements)

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“…For instance, the precipitation distribution on maps should not be in red colors. Third, colors in sequential color schemes should be discriminated and perceptually uniform . Thus, the list of color harmony factors for sequential color schemes on maps includes the harmony factor of the color scheme itself, the matching factor of the color scheme and map content, and the discrimination and perceptual uniformity factor.…”

Section: Methodsmentioning

confidence: 99%

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A harmony‐based approach to generating sequential color schemes for maps

Chen

Zhu

et al. 2019

Color Research & Application

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Generating high-quality sequential color schemes for maps is challenging for most mapmakers. This article presents a harmony-based approach for automatically generating sequential color schemes for maps. The proposed approach consists of two steps: (a) color harmony quantification for sequential color schemes on maps and (b) color scheme generation using quantified color harmony factors. The approach was tested using three experimental maps, including the Chinese water body density index map, Chinese vegetation cover index map, and Chinese population density map. Effectiveness was evaluated by comparing color schemes generated by the proposed approach with those created by the probability-based method and ColorBrewer. Twenty-six participants were invited to rate each map color scheme using a 5-point scale. A t test was also used to examine the significance of the difference. The results show that the mean points of color schemes using the proposed approach are higher than those using the probability-based method, and the corresponding Pvalues are far lower than .05, which suggests that the proposed approach is better than the probability-based method and can improve the sequential color scheme quality in automatic ways. The mean points of color schemes created using the proposed approach are also slightly higher than or similar to those of ColorBrewer, which are well-known map color schemes manually designed by an experienced cartographer. This result further suggests that the proposed approach can meet the requirement of automatic generation for high-quality sequential color schemes on maps. K E Y W O R D Scolor harmony, map color, sequential color scheme

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Section: Methodsmentioning

confidence: 99%

“…Thus,

\frac{1}{n} Δ E_{ab}^{*} ((),, C_{1}, C_{n})

was set as the step for interpolating intervening colors. To identify colors individually in generated sequential color schemes, the just‐noticeable color difference was recommended to be 2.3 . Thus, we set 2.3 as the color distance constraint for adjacent colors. Output‐generated color schemes.…”

Section: Case Studymentioning

confidence: 99%