Integrating Retinal Variables into Graph Visualizing Multivariate Data to Increase Visual Features

Approaching human vision perception to designing visual graph in data visualization

“…For applying the approach to integrating of retinal variables into graph in order to increase visual features, this study groups graph marks into clusters by qualitative and quantitative characteristics. 1 The study proposes to constitute generated retinal variables from one basic retinal variable or from defined Cartesian products of basic retinal variables to integrate their retinal elements into mark clusters. After integrating retinal variables into graph representing multivariate data, the visual graph is objectively estimated by visual features and interacted by user to subjectively improve human perception of vision.…”

“…The effectiveness of planar graph in extracting information and discovering knowledge is estimated by the visual features of planar graph for human perception of vision. 1 The integration of retinal variables into graph is an effective approach to increase visual features of graph. The problem for integrating retinal variables is discussed in the next section.…”

“…Generally, no mark of the map belongs to a cluster, but a mark may belong to one or more clusters. Mathematically, the graph G ′ is the union of mark clusters G m , that is, F I G U R E 11 The Venn diagram depicting the relations between clusters of attributes (qualitative marks) and clusters of maximum and minimum marks, where P max.n and P min.n are the marks indicating the nth local maximum and local minimum values of the number of patients, respectively; R max.n and R min.n are the marks indicating the n th local maximum and local minimum values of rainfall, respectively; H max.n and H min.n are the marks indicating the n th local maximum and local minimum values of humidity, respectively; T max.n and T min.n are the marks indicating the n th local maximum and local minimum values of temperature, respectively F I G U R E 12 The graph representing the dataset of hand-foot-mouth disease in Binhduong province during 2012-2014, 1,25 where red bars represent the number of patients, blue bars represent rainfall, green bars represent humidity, and pink bars represent average temperature called maximum or minimum cluster, other marks are grouped into different clusters. Technically, differential algorithm is applied to indicate maximum or minimum marks associating with their reference values.…”

“…A generated retinal variable is constituted from a basic retinal variable as a subset of a basic retinal variable or from a defined Cartesian product of two or more basic retinal variables as a subset of this product. 1 The number of necessary elements of a generated retinal variable is determined by the number of mark clusters. 1 Each generated retinal variable…”

“…1 The number of necessary elements of a generated retinal variable is determined by the number of mark clusters. 1 Each generated retinal variable…”