Temporal Group Visualization Method for Pesticide Residue Detection Data

Authors

Hongqian Chen, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;
Fang Yi, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;
Qianyu Yang, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;
Li Hui, 2. College of Management, Beijing Union University, Beijing 100101, China;
Chen Yi, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;

Abstract

Abstract: To show and compare more statistics in pesticide residue detection data, a temporal grouping visualization method was proposed. The method divided data set according to the hierarchy of data meaning. The stacked statistical likely figure was designed to watch data and its trending over time. The multidimensional data objects were grouped in the two-dimensional plane space layout. The scattered bubble charts was introduced to express the classification of agricultural products. Stacked bar graph was adopted to show the sequential sampled attribute data. Multi-fold rose diagram was designed to display comparably the pesticide detection result and its temporal attribute. Experimental results and expert evaluations denote that the proposed method can realize data classification and comparison of multiple attribute display and time change. Data contrast and the trend over time can be realized in addition.

Recommended Citation

Chen, Hongqian; Yi, Fang; Yang, Qianyu; Hui, Li; and Yi, Chen (2020) "Temporal Group Visualization Method for Pesticide Residue Detection Data," Journal of System Simulation: Vol. 28: Iss. 10, Article 31.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/31

First Page

2510

Revised Date

2016-07-11

DOI Link

https://doi.org/

Last Page

2519

CLC

TP391

Recommended Citation

Chen Hongqian, Fang Yi, Yang Qianyu, Li Hui, Chen Yi. Temporal Group Visualization Method for Pesticide Residue Detection Data[J]. Journal of System Simulation, 2016, 28(10): 2510-2519.