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Multidirectional Flow Visualization Methodology

• Seongmin Jeong
  Sejong University, Seoul, Korea, Republic of
• Seokyeon Kim ksy0586 (at) sju.ac.kr
  Sejong University, Seoul, South Korea
• Yun Jang jangy (at) sejong.edu
  Sejong University, Seoul, South Korea

Abstract

Finding major flows and trends is an important factor in analyzing movement data. However, it is difficult to define the trend flow and the major flow when the movement data has multiple directions rather than one direction. In this paper, we explore how to effectively visualize trend flows and major flows in multi-directional data fields to illustrate multi-directional movement data. We visualize the multi- directional New York taxi data in four different styles, explaining the advantages and disadvantages of each visualization technique.