Abstract
Large amounts of complex data will be produced when detecting pesticide residues in edible agricultural products within some areas, such as in our whole county. .In order to helping experts and decision-makers understand and analyze these large amounts of data accurately and effectively, a treemap-based visualization method for pesticide residues detection data is presented in this paper. First, the characteristics of pesticide-residue detection data are analyzed. Then, a treemap-based visualization method is presented. It uses hierarchical data visualization technique based on treemap combining with interactive techniques, such as detail viewing, selecting and filtering. The results of applying this method to analyzing pesticide-residue detection data set demonstrate that it can help experts to analyze data set according to the hierarchical structure of regions and categories of agricultural products effectively.
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© 2013 Springer-Verlag Berlin Heidelberg
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Jia, Y., Chen, Y., Li, Z. (2013). Treemap-Based Visualization Methods for Pesticide Residues Detection Data. In: Tan, T., Ruan, Q., Chen, X., Ma, H., Wang, L. (eds) Advances in Image and Graphics Technologies. IGTA 2013. Communications in Computer and Information Science, vol 363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37149-3_19
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DOI: https://doi.org/10.1007/978-3-642-37149-3_19
Publisher Name: Springer, Berlin, Heidelberg
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