TY - GEN
T1 - A multi-dimensional visualization method for disaster analysis on 5D World Map System
AU - Uraki, Asako
AU - Sasaki, Shiori
AU - Kiyoki, Yasushi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/28
Y1 - 2019/1/28
N2 - 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.
AB - 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.
KW - Analytical visualization
KW - Data Mining
KW - Global Environmental Analysis
KW - Multimedia
KW - Semantic Computing
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85062876080&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062876080&partnerID=8YFLogxK
U2 - 10.1109/KCIC.2018.8628562
DO - 10.1109/KCIC.2018.8628562
M3 - Conference contribution
AN - SCOPUS:85062876080
T3 - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings
SP - 139
EP - 145
BT - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings
A2 - Muliawati, Tri Hadiah
A2 - Ardiansyah, Muhammad Febrian
A2 - Sari, Dewi Mutiara
A2 - Permatasari, Desy Intan
A2 - Mu'arifin, null
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018
Y2 - 29 October 2018 through 30 October 2018
ER -