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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50894

Title: Landmark‐based summarized messages for flood warning
Authors: Ya‐Hui Chang
Yu‐Te Liu
Yi‐Yuan Tan
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: data summarization
flood warnings
landmarks
R‐trees
Voronoi cells
Date: 2017-10
Issue Date: 2018-10-29T08:03:21Z
Publisher: Transactions in GIS
Abstract: Abstract: In order to evacuate residents in time, flood warning systems must have rapid data processing algorithms to translate detailed numerical data into simple warnings and navigation aids. Although it is common to display warning messages by directly drawing red circles on a map embedded in a Web page to indicate the regions about to be inundated, such an approach has some drawbacks. We propose an alternative way by summarizing the warning messages based on landmarks, so that the messages can be short and convey even more information. We have designed two approaches to output such messages. They are the nearest landmark approach and the threshold approach, which differ in the way of determining which landmarks will be influenced by a certain flooded region. These two methods are implemented and we compare their performance through real and synthetic datasets. Experimental results show that the threshold approach usually takes less execution time than the nearest landmark approach. Its severity ranking of landmarks is also better suited to human behaviour.
Relation: 21(5) pp.847-861
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50894
Appears in Collections:[資訊工程學系] 期刊論文

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