Earticle

초록

영어

Time series data has characteristics of huge differences among date values, non-continuity and long time span. Cloudlines layout algorithm can overcome the shortcoming of growing data over time, for the data is non-continuous, cyclical and greatly different in value, and the display is not ideal for space waste and form of a single attribute value data in Cloudline. In the thesis, we put forward the Cloudlines Map Visualization Analysis Methods according to the characteristics and shortcomings of time series data. The methods include data values using a logarithmic transformation, semi-ellipse superimposed waveform, transparency distinguishing the density, waveform smooth transition and unequal axes. The WaveLines diagram applied to pesticide residue data can help users

목차

Abstract
 1. Introduction
 2. Related Work
 3. Wavelines Chart
  2.1. Logarithm Value
  2.2. Semi Ellipse
  2.3. Transparency
  2.4. Smooth Transition
  2.5. Unequal Axial Width
 3. Experiments
 4. Conclusion
 References

키워드

저자

• Ruijun Liu [ Beijing Technology and Business University, Beijing 100048, China, Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing 100048, China ]
• Ning Liu [ University of International Business and Economics, Beijing 100029, China ]
• Yi Chen [ Beijing Technology and Business University, Beijing 100048, China, Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing 100048, China ]
• Yunfang Zhao [ Beijing Technology and Business University, Beijing 100048, China ]
• Yang Xu [ Peking University, Beijing 100871, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605