원문정보
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
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