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DEDUCING THE CHARACTERISTICS OF LARGE-SCALE BEACH TOPOGRAPHIC CHANGE BY COMPLEX PRINCIPAL COMPONENT ANALYSIS

机译:复杂主成分分析致力于通过复杂的主成分分析推导大规模海滩地形变化的特点

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Complex principal component analysis (CPCA) is applied to a series of topographic survey data obtained in Kashimanada Coast, Japan, in order to investigate the characteristics of the beach topographic change. A new parameter called "local ratio of contribution" was introduced to identify a predominant mode of CPCA to characterise the topographic change at each surveyed point. Consequently, the trend of topographic change on the coast were evaluated in detail by using the temporal and spatial functions as well as the local ratio of contribution.
机译:复杂的主成分分析(CPCA)适用于日本克什米纳达海岸获得的一系列地形调查数据,以调查海滩地形变化的特点。引入了一个名为“贡献局部比率”的新参数,以识别CPCA的主要模式,以表征每个调查点的地形变化。因此,通过使用时间和空间功能以及局部贡献的局部比率,详细评估了海岸地形变化的趋势。

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