Export development of Russian regions under sanctions restrictions by S. S. Krasnykh

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Spatial and temporal changes in vegetation coverage in Huayuan County and the influence of Chinese policies on vegetation coverage by Ruifeng Zhu, Zexin He, Shunhong Huang, Huading Shi, Xiaolin Liu, Junke Wang, Jinbin Liu, Anfu Liu, Li Li

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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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Analysis of Drought Spatial Statistics in Iran by saeed javizadeh, zahra hejazizadeh

“…The results of Moran index for drought showed that the values for different years during the statistical period have a positive and close to one, indicating that the SPI drought index data has spatial self-correlation and cluster pattern. …”
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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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Analysis of Spatio-Temporal Variations of the Average Snow Cover During the Cold Seasons in the Northwest of Iran by Seyed Hossein Mirmousavi, Zahra Heidari Monfared

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Spatial analysis of regency city minimum wage, labor force, regional original income and investment affecting gross regional domestic product in central Java province in 2022 by Darwin Kasidi, Husnul Fitri

Subjects: “…gross regional domestic product, regional economic growth, regression spatial lag model, moran index…”
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Measurement and spatiotemporal evolution characteristics of dietary diversity among Chinese residents by Guangyuan Qin, Miaomiao Li, Shiwen Quan

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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

“… This study aimed to estimate a socio-spatial vulnerability index for type 2 diabetes mellitus (T2DM) at the municipal level in Mexico for 2020. …”
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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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Optimization of the layout of cultivated land combining territorial spatial planning with quality index spatial autocorrelation characteristics: taking Liuhe District of Nanjing as... by Han Shu, Guo Guancheng, Guo Guancheng, Liu Junjie, Zhang Chuan

“…The results indicate that: (1) The natural quality index is high in the west and low in the east, while the other indices are high in the center and low at the margins. (2) Each quality index exhibits positive geographic autocorrelation, with Moran’s I values of 0.89, 0.67, 0.65, and 0.83, respectively. (3) The optimization scheme increased permanent basic farmland by 123.15 hm² and improved the quality grade by 1.45, classifying land into four primary categories focused on protection and development. …”
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Exploring Spatial Inequalities in COVID-19 Mortality and Their Association With Multidimensional Poverty in Colombia: A Spatial Analysis Study by Claudia Birchenall-Jiménez, Claudia Birchenall-Jiménez, Wilson Giovanni Jiménez-Barbosa, Javier Riascos-Ochoa, Federico Cosenz

“…Spatial statistics such as Moran’s I index, LISA analysis, and simultaneous autoregressive conditional (SAC) regression models were used.ResultsThe Moran’s I index for different years was as follows: 2020: 0.3 (p = 0.0001), 2021: 0.27 (p = 0.0001), and 2022: 0.26 (p = 0.0001). …”
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Spatio-temporal dynamics of grassland ecosystem services and the segmentation effects of their drivers: A case in South China Karst by Yongyao Li, Kangning Xiong, Wenfang Zhang, Shuai Xiang, Baoshan Zhang, Rong Li

“…This study quantified the grassland area, grassland ES, and the elasticity of grassland ES in response to changes in grassland area within the KDC region of South China. The Moran index was applied to analyze spatio-temporal evolution characteristics, and a quantile regression model was used to explored the segmentation effects of influencing factors. …”
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Possibilities of using econometrical methods in studying of interregional interactions of migration in transportation by A. A. Bychkova

“…Regression analysis revealed a significant correlation between migration flows and such factors as income level, development of transportation infrastructure, accessibility, education and other factors calculated in absolute units. The Moran index application to the migration flows analysis is a scientifically new method that allows us to study the migration spatial aspects in more depth and to identify their characteristics and interrelationships at a new level. …”
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Characteristics of Land Use Change and Evaluation of Ecological Sensitivity in Chongqing by XIE Xianjian, GOU Qiantao, WU Han

“…Spatial autocorrelation analysis revealed that the Global Moran’s I index for the comprehensive ecological sensitivity in Chongqing consistently exceeded 0, indicating a clear spatial heterogeneity in the sensitivity. …”
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Fiscal Decentralization and Environmental Pollution: A Spatial Analysis by Xia Chen, Jianmin Liu

“…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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Modelling the Spatial Distribution Differences of Compulsory Education Resource by Weihong Liang, Changsong Ma

“…Data analysis was conducted using the entropy method, comprehensive evaluation method, K-means clusters analysis, analysis of variance, and spatial statistical analysis (Moran’s I index). It was determined that there were significant differences in the spatial distribution of compulsory education. …”
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Spatial-temporal distribution and evolution of medical and health talents in China by Lei Zhang, Jie Tang, Qianqian Zhou, Yu Song, Dayong Zhang

“…Moreover, the global and local Moran’s I indices reveal varying spatial autocorrelation for TAD, TAS, TAI, and TAE. …”
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Spatial distribution and determinants of children ever born among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini Ethiopian demographic health surv... by Ahmed Fentaw Ahmed, Bezawit Adane, Tilahun Degu Tsega, Mekides Nigusu, Kalaab Esubalew Sharew, Abebaw Molla, Mulugeta Tesfa

“…Adjusted odds ratio AOR) with a 95% confidence interval (CI) was used to show the strength and direction of the association respectively.ResultsHigh number of CEB in Ethiopia was 37.46%, 95% CI (0.39–0.56) and it was spatially clustered (Moran's index = 0.59 P value <0.0001). …”
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Specific Determinants of Stunting Toddlers in Lampung Province: Spatial Data Analysis by Prayudhy Yushananta, Azhari Muslim, Yenni Rusli

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