2014
DOI: 10.1007/978-3-319-07926-4_23
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Exploring the Influence of Colour Distance and Legend Position on Choropleth Maps Readability

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Cited by 8 publications
(6 citation statements)
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“…The accompanying analysis, including regression models and the more advanced GWR, are presented in the Supplemental Material section where we further discuss our claims. In order to ensure the best possible map readability, sequential colour schemes were constructed following the principle of defining sufficient colour separation between individual shades as described by Brychtová (2015) and Brychtová and Çöltekin (2017). Data and the R code can be downloaded from Dataverse 2 (Lysek, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The accompanying analysis, including regression models and the more advanced GWR, are presented in the Supplemental Material section where we further discuss our claims. In order to ensure the best possible map readability, sequential colour schemes were constructed following the principle of defining sufficient colour separation between individual shades as described by Brychtová (2015) and Brychtová and Çöltekin (2017). Data and the R code can be downloaded from Dataverse 2 (Lysek, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…1). CIELAB is a device-independent colour model, which means that results are consistent regardless of where and how colours are imaged (Brychtova, 2016). The CIELAB model measures the colour distance between two colours using three values, which are expressed as numbers that fall within a range and can be easily compared to other values within the same model.…”
Section: Objectivesmentioning
confidence: 99%
“…In her application "ColourBrewer 2.0" (https://colourbrewer2.org/), she manages a choice of colour scale of three to nine intervals. Brychtova (2016) evaluated colour distances in sequential scales from the application ColourBrewer 2.0 and found that colour distances between individual scales are not constant. This is despite the fact that ColorBrewer includes "learn more" tutorials to help users get their bearings, encourages them to test colour schemes as maps and legends, and provides output in five colour specification systems (Harrower, Brewer, 2003).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
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“…The appropriate selection of the used color schemes may lead to the optimal quality of the cartographic product, as well as to the effective discrimination of different classes by the map user. In a series of eye tracking experimental studies (Brychtová, 2015;Brychtová and Çöltekin, 2016;2017), the influence of color distance in map legibility is examined. They revealed that the relation between color distance and map ability was positive (Brychtová, 2015) while larger color distances contributed to the better performance of map users (Brychtová and Çöltekin, 2016).…”
Section: Cartographic Symbolization and Design Principlesmentioning
confidence: 99%