Applications of Robust Methods in Spatial Analysis

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-05-10 DOI:10.1155/2023/1328265

S. Selvaratnam

引用次数: 0

Abstract

Spatial data analysis provides valuable information to the government as well as companies. The rapid improvement of modern technology with a geographic information system (GIS) can lead to the collection and storage of more spatial data. We developed algorithms to choose optimal locations from those permanently in a space for an efficient spatial data analysis. Distances between neighboring permanent locations are not necessary to be equispaced distances. Robust and sequential methods were used to develop algorithms for design construction. The constructed designs are robust against misspecified regression responses and variance/covariance structures of responses. The proposed method can be extended for future works of image analysis which includes 3 dimensional image analysis.

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鲁棒方法在空间分析中的应用

空间数据分析为政府和企业提供了有价值的信息。现代技术与地理信息系统（GIS）的快速发展可以导致更多空间数据的收集和存储。我们开发了算法，从空间中的永久位置中选择最佳位置，以进行有效的空间数据分析。相邻永久位置之间的距离不一定是等距距离。使用稳健和顺序方法来开发用于设计构造的算法。所构建的设计对于错误指定的回归响应和响应的方差/协方差结构是稳健的。所提出的方法可以扩展到未来的图像分析工作，包括三维图像分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.