A multi-dimensional visualization method for disaster analysis on 5D World Map System

Asako Uraki, Shiori Sasaki, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is becoming essentially significant to analyze and recognize environmental situations from various viewpoints on each purpose in environmental experts in governments, international organizations, universities, and research institutes. Visualizing environments in combination with relationships, reflections, and co-occurrences through multiple kinds of data is effective to interpret actual situations to analyze those data combinatory to see causality/resultant through multiple phenomena. This paper presents 'A Multidimensional Visualization Method for Disaster Analysis on 5D World Map System'. The 5D World Map System allows calculating in five dimensions, semantic in one dimension (1D), geographical world map in three dimensions (3D), and time in 1 dimension (1D), we have already presented. One of the essential features of our new method is to express one semantic in one Knowledge-Layer, and the selected Knowledge-Layers can be mapped simultaneously (transparency) to integrate/reduce multiple semantics into one visual dimension on the 5D World Map. Our method makes compatibility for multiple contexts of disaster phenomena. We also show several experimental results of our method for disaster analysis correspond to SDG11 has been proposed by United Nations, to clarify the feasibility of our method, and also clarify the applicability for the area of disaster analysis.

Original languageEnglish
Title of host publicationInternational Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings
EditorsTri Hadiah Muliawati, Muhammad Febrian Ardiansyah, Dewi Mutiara Sari, Desy Intan Permatasari, Mu'arifin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages139-145
Number of pages7
ISBN (Electronic)9781538680797
DOIs
Publication statusPublished - 2019 Jan 28
Event2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Bali, Indonesia
Duration: 2018 Oct 292018 Oct 30

Publication series

NameInternational Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings

Conference

Conference2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018
CountryIndonesia
CityBali
Period18/10/2918/10/30

Keywords

  • Analytical visualization
  • Data Mining
  • Global Environmental Analysis
  • Multimedia
  • Semantic Computing
  • Visualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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  • Cite this

    Uraki, A., Sasaki, S., & Kiyoki, Y. (2019). A multi-dimensional visualization method for disaster analysis on 5D World Map System. In T. H. Muliawati, M. F. Ardiansyah, D. M. Sari, D. I. Permatasari, & Mu'arifin (Eds.), International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings (pp. 139-145). [8628562] (International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KCIC.2018.8628562