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A visual variable, in cartographic design, graphic design, and data visualization, is an aspect of a graphical object that can visually differentiate it from other objects, and can be controlled during the design process. A selective variable allows us to immediately isolate a group of signs based on a change in the variable. Effective data visualizations often use multiple visual encoding channels for different aspects of the data
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In this second article, we’ll dive into the details of visual encoding channels and gain some practice breaking down a complex visualization into its component parts. Bertin described four “levels” of how visual variables are perceived, which have implications in their use for map symbols Visual variables include size, shape, orientation, texture, color hue, and color value, and are used to differentiate data symbols on a map
By applying visual variables effectively, the mapmaker can meaningfully relay the map data in a way that can be easily understood by the reader.
Color is the most universal visual variable (section 7.3) It can represent both qualitative (categorical) and quantitative (numerical) variables, and we can also color symbols, lines, or polygon fillings Sizes, on the other hand, focus on quantitative variables. In the realm of visual communication, the judicious integration of visual variables is paramount
These variables, which include size, value, texture, color, orientation, and shape, serve as the foundational elements that dictate the effectiveness of visual conveyance. For example, a vertical bar chart uses rectangles as marks and height as a visual variable Visual representations, such as scatterplots and box plots, effectively convey relationships between numeric and categorical variables, enhancing comprehension of larger datasets. Is a combination of other visual variables, for example, the distribution and orientation of marks themselves can form regions of texture
The way a visual variable changes with time can convey more information
The term ‘visual variables’ is commonly used to describe the various perceived differences in map symbols that are used to represent geographic phenomena. (slocum, et al
