Review of Designing Better Maps: A Guide for GIS Users, 2nd Edition

Tickner, Amanda

doi:10.14714/cp84.1361

Cited by 3 publications

(4 citation statements)

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“…ColorBrewer is a set of color schemes developed by Brewer, Hatchard, and Harrower ([2003]; also see Brewer [2015]). For more information on ColorBrewer, also see http: // colorbrewer2.org / .…”

Section: Colorbrewer Palettesmentioning

confidence: 99%

Color palettes for Stata graphics: An update

Jann

2023

The Stata Journal: Promoting communications on statistics and S

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This article is an update to Jann (2018a, Stata Journal 18: 765–785). It contains a comprehensive discussion of the colorpalette command, including various changes and additions that have been made to the software since its first publication. Command colorpalette provides colors for use in Stata graphics. In addition to Stata’s default colors, colorpalette supports a variety of named colors, a selection of palettes that have been proposed by users, numerous collections of palettes and colormaps from sources such as ColorBrewer, Carto, D3.js, or Matplotlib, as well as color generators in different color spaces. Furthermore, a new command called colorcheck is presented that can be used to evaluate whether colors are distinguishable by people suffering from color vision deficiency.

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Section: Colorbrewer Palettesmentioning

confidence: 99%

Color palettes for Stata graphics: An update

Jann

2023

The Stata Journal: Promoting communications on statistics and S

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“…The Sequential Colour Scheme Generator offers the possibility to set the number of intervals and colour distance between intervals. Brewer (2016) does not recommend using pre-set colour scales in geographic information systems. User preferences for spectral and divergent maps were investigated by Brewer et al (1977).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…However, there are a large number of pitfalls that electronic products have about to with concerning the user perceptions. For example, Brewer (2016) draws attention to perceptual colour systems and the influence of the background on colour scales. It is difficult to distinguish a colour on a map that is only in a small area surrounded by a large area of another colour.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the quality of colour scales: a case study "Landscape Atlas of Czech Republic"

Vozenilek,

Lachova

2023

Proc. Int. Cartogr. Assoc.

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Abstract. The atlas, as a typical product of thematic cartography, is characterized by cohesive approaches in the procedures of atlas compilation. One of the results of these cohesive approaches is the uniform setting of colour scales in choropleth maps. The paper aims to evaluate the quality of colour scales in choropleth maps in an atlas from the point of view of systematic visualization, using the example of the electronic version of the Landscape Atlas of the Czech Republic. A total of 56 sequential and 6 divergent colour scales were selected from the Atlas. Seven hypotheses related to colours were formulated and then tested. The paper assumes that the colour scales in the atlas are not uniformly constructed. The authors hypothesise the approach by which the creators of the atlas chose these colours. In the CIELAB colour model, the colour distances between the colours of the intervals were measured, calculated, statistically evaluated and graphically expressed. The colour scales were also evaluated against the background of the map sheets. The results revealed the nature of the approach of the authors of the Atlas when compiling colour scales of choropleth maps. The aim of the paper was also to define the criteria for evaluating the quality of colour scales and to formulate recommendations for the compilation of colour scales. These recommendations should help map makers to create high-quality atlas maps and users to get more accurate and faster information from maps.

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“…Typically, there are different types of maps, such as contours, symbols, shading or choropleth, and sized symbols used for many social and economic purposes, such as urban planning and tourism. The design characteristics of these maps vary depending on the purpose of use (Tickner, 2016). Tourism maps, for example, use unique features and symbols to communicate information to tourists (Wang et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

Effects of map design characteristics on users’ search performance and cognitive load

Al-Samarraie

Eldenfria

Price

et al. 2019

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Purpose This paper aims to investigate the influence of map design characteristics on users’ cognitive load and search performance. Two design conditions (symbolic vs non-symbolic) were used to evaluate users’ ability to locate a place of interest. Design/methodology/approach A total of 19 students (10 male and 9 female, 20-23 years old) participated in this study. The time required for subjects to find a place in the two conditions was used to estimate their searching performance. An electroencephalogram (EEG) device was used to examine students’ cognitive load using event-related desynchronization percentages of alpha, beta and theta brain wave rhythms. Findings The results showed that subjects needed more time to find a place in the non-symbolic condition than the symbolic condition. The EEG data, however, revealed that users experienced higher cognitive load when searching for a place in the symbolic condition. The authors found that the design characteristics of the map significantly influenced users’ brain activity, thus impacting their search performance. Originality/value Outcomes from this study can be used by cartographic designers and scholars to understand how certain design characteristics can trigger cognitive activity to improve users' searching experience and efficiency.

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Review of Designing Better Maps: A Guide for GIS Users, 2nd Edition

Cited by 3 publications

References 0 publications

Color palettes for Stata graphics: An update

Color palettes for Stata graphics: An update

Assessment of the quality of colour scales: a case study "Landscape Atlas of Czech Republic"

Effects of map design characteristics on users’ search performance and cognitive load

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