Air pollution data visualization based on the shape of a tree

Nowadays, environment pollution is one of the most serious problems facing mankind, and more and more people are concerned about it. To solve it, we should get to know it first. In this paper, we present the method of tree-shaped multivariate visualization for hierarchical data, to reveal changes in the data and make comparisons among different pollutants and the time. The technique is based on a botanical tree metaphor. The resulting tree-like visualization can display many properties of the data and we can learn some useful information through the interactions. We also use traditional parallel coordinates as an auxiliary method and a complement to analyze the result.

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