Spatial analysis of precipitation in Mazandaran province by ali mohammadpourzeidi, Bohloul Alijani, Mohammad Saligheh, MohammadSaleh Gerami

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Assessment of spatial heterogeneity of employment in Russian regions by R. I. Vasilyeva, D. M. Ampenova

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Identification of climatic comfort areas Khuzestan province using multivariate analysis and spatial autocorrelation pattern with emphasis on architecture by Shahla Qasemi, Reza Borna, Faredeh Asadian

“…This research is to determine the areas of climatic comfort in Khuzestan province using multivariate analysis (Cluster analysis and Discriminant analysis) and spatial autocorrelation pattern (Hot Spot index and Moran index) with emphasis on architecture. …”
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Correlation and autocorrelation of data on complex networks by Rudy Arthur

“…We focus primarily on Moran-type statistics and discuss measures of global autocorrelation, local autocorrelation and global correlation. …”
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Variations in Water Stress and Its Driving Factors in the Yellow River Basin by Haodong Lyu, Jianmin Qiao, Gonghuan Fang, Wenting Liang, Zidong Tang, Furong Lv, Qin Zhang, Zewei Qiu, Gengning Huang

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An Empirical Study on the Agglomeration Characteristics of China’s Construction Industry Based on Spatial Autocorrelation and Spatiotemporal Transition by Likun Zhao, Junsen Tian, Yanqi Liu, Rui Liu

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Spatial autocorrelation analysis of non-communicable diseases: Unveiling hidden patterns and hotspots of hypertension in the Yogyakarta Special Region by Lusiana Vivi, Arif Fahrudin Alfana Muhammad

“…Therefore, this study addresses the spatial dynamics of hypertension in the Yogyakarta Special Region using spatial autocorrelation techniques. …”
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Possibilities of using econometrical methods in studying of interregional interactions of migration in transportation by A. A. Bychkova

“…The results of the study showed that it is possible to study migration flows by spatial autocorrelation methods, and the main explanation of this process is socio-economic factors. …”
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SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION by Yusuf Kalkan

“…In this study, Exploratory Regression analysis was applied to determine the model that best explains HTE among the variables. Moran Index was used for spatial autocorrelation, Geographical Weighted Regression (GWR) method for spatial regression analysis, and Ordinary Least Squares (OLS) method, to compare with the GWR method. …”
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Spatial Analysis of Building Density and Liquefaction Spread in Izmit Bay and its Surroundings by Arzu Erener, Metin Aşcı, Gül Gülsoy, Aydın Üstün, Muhammed Ali Güvenaltın, Erman Şentürk, Sefa Yalvaç, Fatma Canaslan Çomut, T. Serkan Irmak, Haluk Konak, Pakize Küreç Nehbit, Efdal Kaya, Burak Kotan, Selin Öye

“…Among the spatial autocorrelation analysis, Local Moran’s I statistics were taken into consideration comparatively. …”
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Spatial analysis and associated risk factors of HIV prevalence in Botswana: insights from the 2021 Botswana AIDS Impact Survey (BAIS V) by Sethunya R. Simela, Matlhogonolo Kelepile, Thabo I. Sebobi

“…Methods The analysis included 12,653 adults aged 15–64 years and employed chi-square tests, multilevel mixed-effects regression, and spatial analysis techniques. HIV prevalence estimates were visualized through choropleth maps, and spatial autocorrelation was analyzed using Anselin Local Moran’s I in ArcGIS 10.8.2 software. …”
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Spatio-temporal clustering analysis of influenza in Jiaxing City by WANG Yuanhang, FU Xiaofei, QI Yunpeng, LIU Yang, ZHOU Wanling, GUO Feifei

“…The county (city, district) with the highest reported incidence was Haining City (1 451.70/105), and the town (street) with the highest reported incidence was Chang'an Town (1 932.78/105). Spatial autocorrelation analysis showed that the incidence of influenza in Jiaxing City from 2019 to 2023 had positive spatial correlations (all Moran's I>0, all P<0.05), with a high-high clustering in the southern region. …”
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Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea by Ali Bahri, Younes Khosravi

“…The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine the slope of the changes. …”
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Fiscal Decentralization and Environmental Pollution: A Spatial Analysis by Xia Chen, Jianmin Liu

“…Based on annual data over the period 2003 to 2017 covering 31 provinces in China, the environmental pollution index and environmental regulation index are constructed. Moran’s I, the widely used spatial autocorrelation index, is used to analyze the spatial distribution of environmental pollution, which provides a fairly high stability of the positive spatial correlation of environmental pollution. …”
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Trends and Spatial Patterns of Oral Cancer Mortality in Ecuador, 2001–2016 by Solange Núñez-González, J. Andrés Delgado-Ron, Christopher Gault, Daniel Simancas-Racines

“…The second cluster included 38 cantons, in the years 2014 to 2016. The Global Moran I index for the study period showed a negative spatial autocorrelation (−0.067; p=0.37). …”
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SPATIAL ANALYSIS OF RELATIONSHIP BETWEEN COVID-19 CASES AND GLOBALISATION IN EUROPE by Yılmaz Toktaş

“…In this study, it is suggested that, along with Covid-19’s distinctive abilities such as spreading rapidly, the fact that the world has become more mobile and integrated due to globalisation is considered to have an impact on the pandemic; thus, the effect of globalisation on Covid-19 cases in European countries was investigated through spatial analysis methods. The results of Moran’s I test carried out on Covid-19 cases in European countries suggest that there is positive autocorrelation. …”
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SPATIAL ANALYSIS OF RELATIONSHIP BETWEEN COVID-19 CASES AND GLOBALISATION IN EUROPE by Yılmaz Toktaş

“…In this study, it is suggested that, along with Covid-19’s distinctive abilities such as spreading rapidly, the fact that the world has become more mobile and integrated due to globalisation is considered to have an impact on the pandemic; thus, the effect of globalisation on Covid-19 cases in European countries was investigated through spatial analysis methods. The results of Moran’s I test carried out on Covid-19 cases in European countries suggest that there is positive autocorrelation. …”
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Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand by Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm, Warangkana Sungsitthisawad, Roshan Kumar Mahato

“…Socioeconomic and health services factors were included in the spatial analysis. Moran’s I was performed to identify global autocorrelation with the significance level set at p=0.05 and spatial regression were applied to identify the factors associated with ASM, the proportion of which is predominant in the north-eastern, central and eastern regions with Phitsanulok Province reporting the highest proportion of Thailand’s 77 provinces. …”
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Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 by Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez

“…A multiple linear regression model was developed, complemented by cluster and outlier analyses using Moran I’s and the high-low clustering method. A clustered spatial autocorrelation of high values was found across 17.65% of Mexico, which was statistically significant (p < 0.001). …”
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Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis by Huan Zhou, Shaojian Qu, Xiaoguang Yang, Qinglu Yuan

“…The Jenks natural breaks method, kernel density function, and Moran index are introduced for spatial statistical analysis. …”
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