空间格点数据的梯队分析及其软件

IF 4.4 2区数学 Q1 STATISTICS & PROBABILITY

Wiley Interdisciplinary Reviews-Computational Statistics Pub Date : 2022-03-12 DOI:10.1002/wics.1579

K. Kurihara, Fumio Ishioka

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引用次数: 0

摘要

在这项研究中，我们探索了梯队分析及其软件EcheScan对空间点阵数据的使用。EcheScan是一个web应用程序，使用R语言的浏览器和Shiny服务器进行梯队分析。提出了对空间点阵数据进行拓扑结构分析的梯队技术。梯队树提供了一种树形图表示。区域特征，如层次空间数据结构和热点集群，在一个梯级树状图中显示。此外，我们还引入了格数据的具有值和邻域的阶梯形的概念。我们还解释了EcheScan在一维和二维正则晶格数据中的应用。此外，以EcheScan为例，说明了美国50个州对应的2019年冠状病毒病死亡数据。

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Echelon analysis and its software for spatial lattice data

In this study, we explore the use of echelon analysis and its software named EcheScan for spatial lattice data. EcheScan is developed as a web application via an internet browser in R language and Shiny server for echelon analysis. The technique of echelon is proposed to analyze the topological structure for spatial lattice data. The echelon tree provides a dendrogram representation. Regional features, such as hierarchical spatial data structure and hotspots clusters, are shown in an echelon dendrogram. In addition, we introduce the conception of echelon with the values and neighbors for lattice data. We also explain the use of EcheScan for one‐ and two‐dimensional regular lattice data. Furthermore, coronavirus disease 2019 death data corresponding to 50 US states are illustrated using EcheScan as an example of geospatial lattice data.

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来源期刊

Wiley Interdisciplinary Reviews-Computational Statistics STATISTICS & PROBABILITY-

CiteScore

6.20

自引率

0.00%

发文量