https://scholars.lib.ntu.edu.tw/handle/123456789/497185
標題: | A geo-computational algorithm for exploring the structure of diffusion progression in time and space | 作者: | Chin, Wei-Chien-Benny Wen, Tzai-Hung Sabel, Clive E. I-HSIANG WANG Wen T.-H. |
公開日期: | 2017 | 卷: | 7 | 起(迄)頁: | 12565 | 來源出版物: | Scientific Reports | 摘要: | A diffusion process can be considered as the movement of linked events through space and time. Therefore, space-time locations of events are key to identify any diffusion process. However, previous clustering analysis methods have focused only on space-time proximity characteristics, neglecting the temporal lag of the movement of events. We argue that the temporal lag between events is a key to understand the process of diffusion movement. Using the temporal lag could help to clarify the types of close relationships. This study aims to develop a data exploration algorithm, namely the TrAcking Progression In Time And Space (TaPiTaS) algorithm, for understanding diffusion processes. Based on the spatial distance and temporal interval between cases, TaPiTaS detects sub-clusters, a group of events that have high probability of having common sources, identifies progression links, the relationships between sub-clusters, and tracks progression chains, the connected components of sub-clusters. Dengue Fever cases data was used as an illustrative case study. The location and temporal range of sub-clusters are presented, along with the progression links. TaPiTaS algorithm contributes a more detailed and in-depth understanding of the development of progression chains, namely the geographic diffusion process. ? 2017 The Author(s). |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/497185 | ISSN: | 2045-2322 | DOI: | 10.1038/s41598-017-12852-z |
顯示於: | 電機工程學系 |
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