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Study on the Theory and Practice of Data Visualization

  • Quan Wu
  • Xiaochen Li
  • Danqiong Wang
  • Weijie Jiao
  • Xue Han
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 509)

Abstract

Data visualization is a science and technology research on data visual form, which is originated in the 50’s of the twentieth Century. It went from scientific visualization, information visualization to data visualization. Based on computer graphics and pictures data visualization display and reveal the main information contained in data. Data visualization contains data acquisition, data analysis, data processing and data modeling. Based on psychology the motivation of data visualization is to expand the scope of visual perception which is easier to get information than other biological perceptions while the effect is better. Modern science and technology greatly extends the human sensory “arms”. Visual perception has very long “arm” and often “robs” other perceptions’ “business”. This paper introduces the basic concept and main content of data visualization, reveals the essence of data visualization. Through the “Agricultural planning visualization” case, the technology process of data visualization applied in production has been established, which can be described as 4 steps operated by order. The first step is to determine and decompose a target. The second step is data acquisition and processing. The third step is models designing and expression. The last step is video production.

Keywords

Data visualization Computer graphics Image 3D Sense organ  Vision Vision perception Psychology GIS RS Agricultural planning 

Notes

Acknowledgement

This paper is supported by Innovation Team of Crop Monitoring by RS (CMIT), authorized by Chinese Academy of Agricultural Engineering (CAAE), in 2015.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Quan Wu
    • 1
  • Xiaochen Li
    • 1
  • Danqiong Wang
    • 1
  • Weijie Jiao
    • 1
  • Xue Han
    • 1
  1. 1.Remote Sensing Application CentreChinese Academy of Agricultural EngineeringBeijingChina

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