1990
DOI: 10.1515/semi.1990.80.3-4.239
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Visual texture as a semiotic system

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Cited by 20 publications
(18 citation statements)
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“…One of the most significant theoretical breakthroughs regarding cartographic representation was the identification and articulation of the visual variables available to the cartographer when constructing a map, defined as the fundamental dimensions across which a representation can be varied to convey information. This is especially influential for representations that are visual (Bertin, 1967(Bertin, /1983Morrison, 1974;Caivano, 1990;MacEachren, 1992), but also is an effective approach for conceptualizing and designing representations that are animated (DiBiase et al, 1992), haptic (Griffin, 2002), or sonic (Krygier, 1994). These taxonomic frameworks provide a systematic way of varying representations when empirically examining which representations work the best.…”
mentioning
confidence: 99%
“…One of the most significant theoretical breakthroughs regarding cartographic representation was the identification and articulation of the visual variables available to the cartographer when constructing a map, defined as the fundamental dimensions across which a representation can be varied to convey information. This is especially influential for representations that are visual (Bertin, 1967(Bertin, /1983Morrison, 1974;Caivano, 1990;MacEachren, 1992), but also is an effective approach for conceptualizing and designing representations that are animated (DiBiase et al, 1992), haptic (Griffin, 2002), or sonic (Krygier, 1994). These taxonomic frameworks provide a systematic way of varying representations when empirically examining which representations work the best.…”
mentioning
confidence: 99%
“…Subsequently, many researchers have proposed new visual variables [23][24][25][26][27] (Supplementary Figure S2). Eye tracking is an objective, precise and quantitative way to investigate how users perceive certain information [28,29], and it has been widely used to conduct empirical studies of visual variables to aid researchers in understanding how tasks are completed and "why certain visual variables look good."…”
Section: Background and Related Workmentioning
confidence: 99%
“…6). Thus, a narrow frequency spectrum generates a low ratio of texture units whereas a broad spectrum produces a high ratio of texture units [35]. …”
Section: Frequency Spectrummentioning
confidence: 99%