Review of visualization techniques for landslide and flood disaster data

The aim of this study is to review the data visualization techniques that have been used for landslide and flood research. Landslide and flood are two of the natural disasters that commonly occur in Malaysia. Due to the large amount of damage that both landslide and flood can cause, it is important...

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Main Authors: Yussof S., Husin N.B., Ibrahim Z., Din M.M., Ghapar A.A., Din N.M., Abdullah F.
Other Authors: 16023225600
Format: Article
Published: Maxwell Science Publications 2023
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spelling my.uniten.dspace-225522023-05-29T14:01:56Z Review of visualization techniques for landslide and flood disaster data Yussof S. Husin N.B. Ibrahim Z. Din M.M. Ghapar A.A. Din N.M. Abdullah F. 16023225600 56611797100 7005685706 55348871200 35172922200 9335429400 56613644500 The aim of this study is to review the data visualization techniques that have been used for landslide and flood research. Landslide and flood are two of the natural disasters that commonly occur in Malaysia. Due to the large amount of damage that both landslide and flood can cause, it is important for researchers to predict where and when these two disasters will occur and the extent of damage that can happen. Data visualization techniques have been used by researchers in both areas to facilitate them in making a better prediction. However, data visualization techniques are used differently in the two areas. In landslide research, the visualizations techniques are used to visualize monitored landslide data. In flood research, the visualization techniques are used to visualize the predicted impact of flood, where they are used as a component in a flood simulation system. In both cases, data visualization technique has not been used to its full potential and this opens up a door for further research opportunities with regard to using data visualization to improve our prediction on landslide and flood occurrence. � Maxwell Scientific Organization, 2015. Final 2023-05-29T06:01:55Z 2023-05-29T06:01:55Z 2015 Article 10.19026/rjaset.9.2614 2-s2.0-84928721062 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928721062&doi=10.19026%2frjaset.9.2614&partnerID=40&md5=88541034672059094ea22214b9e15491 https://irepository.uniten.edu.my/handle/123456789/22552 9 9 700 705 All Open Access, Gold Maxwell Science Publications Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The aim of this study is to review the data visualization techniques that have been used for landslide and flood research. Landslide and flood are two of the natural disasters that commonly occur in Malaysia. Due to the large amount of damage that both landslide and flood can cause, it is important for researchers to predict where and when these two disasters will occur and the extent of damage that can happen. Data visualization techniques have been used by researchers in both areas to facilitate them in making a better prediction. However, data visualization techniques are used differently in the two areas. In landslide research, the visualizations techniques are used to visualize monitored landslide data. In flood research, the visualization techniques are used to visualize the predicted impact of flood, where they are used as a component in a flood simulation system. In both cases, data visualization technique has not been used to its full potential and this opens up a door for further research opportunities with regard to using data visualization to improve our prediction on landslide and flood occurrence. � Maxwell Scientific Organization, 2015.
author2 16023225600
author_facet 16023225600
Yussof S.
Husin N.B.
Ibrahim Z.
Din M.M.
Ghapar A.A.
Din N.M.
Abdullah F.
format Article
author Yussof S.
Husin N.B.
Ibrahim Z.
Din M.M.
Ghapar A.A.
Din N.M.
Abdullah F.
spellingShingle Yussof S.
Husin N.B.
Ibrahim Z.
Din M.M.
Ghapar A.A.
Din N.M.
Abdullah F.
Review of visualization techniques for landslide and flood disaster data
author_sort Yussof S.
title Review of visualization techniques for landslide and flood disaster data
title_short Review of visualization techniques for landslide and flood disaster data
title_full Review of visualization techniques for landslide and flood disaster data
title_fullStr Review of visualization techniques for landslide and flood disaster data
title_full_unstemmed Review of visualization techniques for landslide and flood disaster data
title_sort review of visualization techniques for landslide and flood disaster data
publisher Maxwell Science Publications
publishDate 2023
_version_ 1806426207667879936
score 13.222552