Home Artificial Intelligence Radial Treemaps: Extending Treemaps to Circular Mappings Background

Radial Treemaps: Extending Treemaps to Circular Mappings Background

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Radial Treemaps: Extending Treemaps to Circular Mappings
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Study Radial Treemaps and create your individual with Python

Towards Data Science
Radial-Treemap by Nick Gerend

The Treemap Concept

The “Treemap” was introduced by Ben Shneiderman on the University of Maryland within the early 1990s¹. Simply put, it’s an efficient way of displaying hierarchical data as a set of nested rectangles. Although the concept is easy, the arrangement of the rectangles is subject to an aesthetic preference, and various arrangement algorithms have been developed to boost the looks of the ultimate layout.

Treemap Mechanics

Given a hierarchy, a Treemap represents each branch within the hierarchy as a rectangle, which is then tiled with smaller rectangles representing sub-branches. The space in a Treemap is split in keeping with a particular attribute of the information (often size or value), and every rectangle’s area corresponds to the attribute’s magnitude, making it easy to match different parts of the hierarchy.

Treemap of groups a, b and c, in that order -> largest items at each level: (a1), (a1,b1), (a1,b1,c1)

To account for the arrangement of the rectangles, listed below are among the common algorithms that govern a Treemap’s construction and supreme appearance:

  • Squarified Treemaps² – creates rectangles as near squares as possible by adjusting the aspect ratio of the rectangles
  • Strip Treemaps³ – lays out the rectangles in strips, either horizontally or vertically, based on the information’s hierarchy
  • Slice-and-Dice⁴ – alternates between horizontal and vertical divisions which is simple but can create elongated rectangles

Treemap Features

  • Proportions – the scale of every rectangle is proportional to the information point it represents, allowing quick identification of larger and smaller items
  • Lines and Colours – clever usage of borders, border size and color, and buffers can delineate hierarchy levels while container colours are sometimes used to represent different dimensions of the information
  • Spatial Efficiency – Treemaps…

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