Graphical Exploratory Data Analysis.

Thisted, Ronald A.; Toit, S. H. C. du; Steyn, A. G. W.; Stumpf, R. H.

doi:10.2307/2289954

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Complex multivariate data can be visualized by glyphs, Andrews' curves, Chernoff faces, and other such methods. [49]. Among them, the spie chart [10,50], target plot [10,51], radar plot [10,16,48], and unit circle [1,5] intuitively graph multivariate data and are therefore useful for providing understandable summaries of evaluation information.…”

Section: Compared With Geometry-based Methodsmentioning

confidence: 99%

A Novel Comprehensive Evaluation Method of Forest State Based on Unit Circle

Zhang¹,

Gao²,

Zhang³

et al. 2018

Forests

View full text Add to dashboard Cite

Comprehensive evaluation of forest state is the precondition and critical step for forest management. To solve the problem that the radar plot and unit circle only focus on the value of each the evaluation index, this paper proposes a novel method for comprehensively and simultaneously evaluating the functionality and inhomogeneity of forest state based on the modified unit circle method. We evaluated the forest state of the Quercus aliena BL. var. acuteserrata Maxim. ex Wenz. broad-leaved mixed forest in the Xiaolong Mountains Forest Area of Gansu Province and the Pinus koraiensis Sieb. et Zucc. broad-leaved mixed forest in Jilin Province in China. According to the principle of comprehensive, scientific and operability, 10 evaluation indices on forest structure and vitality were selected to construct the evaluation indicator system. Each index was normalized based on the assignment method and ensured to be strictly positive based on reciprocal transformation method. The areas and arc length of the closed graph, formed by connecting every two adjacent indicators, in the radar plot and unit circle were extracted. Based on the isoperimetric theorem (isoperimetric inequality), a comprehensive evaluation model was constructed. Compared with radar chart and unit circle method, each index in the newly proposed unit circle method is represented by an independent sector region, reflecting the contribution of the index to the overall evaluation result. Each index has the same relative importance weight, contributing to the estimation the relative sizes of each aspect of forest state. The unique area and arc length of the closed graph help summarize the overall performance with a global score. The expression effect of improved unit circle has been enhanced, and as an English proverb put it, “A picture is worth a thousand words.” The new proposed method simultaneously evaluates the functionality and inhomogeneity of the forest state and it is a powerful tool for the diagnosis of forest state problems and the decision-making of forest management.

show abstract