Inspired by Art

IF 2.8 3区 地球科学 Q1 GEOGRAPHY Journal of Geographical Systems Pub Date : 2024-01-16 DOI:10.1007/s10109-023-00431-y
Peter A. Rogerson
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Abstract

The research of Art Getis has had many positive direct effects on the fields of regional science and spatial statistics. There already have been, and will continue to be, many indirect effects as well, as the repercussions of his work ripple through the field. With his contributions to spatial statistics, Art Getis laid out a rich research agenda for future work in the field. In this presentation, I describe several research problems inspired by his work. These include (a) the multiple testing problem, (b) the effects of global spatial autocorrelation on the power and use of local statistics, (c) the effects of weight misspecification on the power of local statistics, and (d) the statistical distribution of his local spatial heterogeneity (LOSH) statistic. In addition, there are a number of connections between the local statistics he developed and other statistics. These include the relationships between (a) the Getis-Ord statistic and the two-sample t statistic, (b) the Getis-Ord statistic and the maximum of Gaussian random fields, and (c) the LOSH statistic and the well-known Geary statistic.

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艺术的启迪
阿特-格蒂斯的研究对区域科学和空间统计学领域产生了许多积极的直接影响。随着他的研究成果在该领域产生的反响,他的研究已经并将继续产生许多间接影响。凭借他对空间统计学的贡献,阿特-盖蒂斯为该领域未来的工作制定了丰富的研究议程。在本演讲中,我将介绍受他的工作启发而提出的几个研究问题。这些问题包括:(a) 多重检验问题;(b) 全局空间自相关性对局部统计量的功率和使用的影响;(c) 权重错误规范对局部统计量功率的影响;(d) 他的局部空间异质性统计量的统计分布。此外,他开发的局部统计与其他统计之间也有许多联系。这些联系包括:(a) Getis-Ord 统计量与双样本 t 统计量之间的关系;(b) Getis-Ord 统计量与高斯随机场最大值之间的关系;(c) LOSH 统计量与著名的 Geary 统计量之间的关系。
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来源期刊
CiteScore
5.40
自引率
6.90%
发文量
33
期刊介绍: The Journal of Geographical Systems (JGS) is an interdisciplinary peer-reviewed academic journal that aims to encourage and promote high-quality scholarship on new theoretical or empirical results, models and methods in the social sciences. It solicits original papers with a spatial dimension that can be of interest to social scientists. Coverage includes regional science, economic geography, spatial economics, regional and urban economics, GIScience and GeoComputation, big data and machine learning. Spatial analysis, spatial econometrics and statistics are strongly represented. One of the distinctive features of the journal is its concern for the interface between modeling, statistical techniques and spatial issues in a wide spectrum of related fields. An important goal of the journal is to encourage a spatial perspective in the social sciences that emphasizes geographical space as a relevant dimension to our understanding of socio-economic phenomena. Contributions should be of high-quality, be technically well-crafted, make a substantial contribution to the subject and contain a spatial dimension. The journal also aims to publish, review and survey articles that make recent theoretical and methodological developments more readily accessible to the audience of the journal. All papers of this journal have undergone rigorous double-blind peer-review, based on initial editor screening and with at least two peer reviewers. Officially cited as J Geogr Syst
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