ASAS-NANP Symposium: prospects for interactive and dynamic graphics in the era of data-rich animal science1

Gota Morota, Hao Cheng, Dianne Cook, Emi Tanaka

Research output: Contribution to journalArticleOtherpeer-review

Abstract

Statistical graphics, and data visualization, play an essential but under-utilized, role for data analysis in animal science, and also to visually illustrate the concepts, ideas, or outputs of research and in curricula. The recent rise in web technologies and ubiquitous availability of web browsers enables easier sharing of interactive and dynamic graphics. Interactivity and dynamic feedback enhance human-computer interaction and data exploration. Web applications such as decision support systems coupled with multimedia tools synergize with interactive and dynamic graphics. However, the importance of graphics for effectively communicating data, understanding data uncertainty, and the state of the field of interactive and dynamic graphics is underappreciated in animal science. To address this gap, we describe the current state of graphical methodology and technology that might be more broadly adopted. This includes an explanation of a conceptual framework for effective graphics construction. The ideas and technology are illustrated using publicly available animal datasets. We foresee that many new types of big and complex data being generated in precision livestock farming create exciting opportunities for applying interactive and dynamic graphics to improve data analysis and make data-supported decisions.

Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalJournal of Animal Science
Volume99
Issue number2
DOIs
Publication statusPublished - Feb 2021

Keywords

  • dynamic graphic
  • human–computer interaction
  • image
  • interactive graphic
  • statistical graphic
  • visualization

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