Spatio-temporal distribution of pulmonary tuberculosis among students in Suzhou City from 2015 to 2023 by CUI Caiyan, JIANG Jun, WANG Feixian, FU Ying, ZHANG Xiaolong

“…The seasonal incidence of PTB among students was analyzed using seasonal index (SI). The spatio-temporal clustering characteristics of PTB among students were analyzed using spatial autocorrelation and retrospective spatio-temporal permutation scanning. …”
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Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale by Minghan Cheng, Xiuliang Jin, Chenwei Nie, Kaihua Liu, Tianao Wu, Yuping Lv, Shuaibing Liu, Xun Yu, Yi Bai, Yadong Liu, Lin Meng, Xiao Jia, Yuan Liu, Lili Zhou, Fei Nan

“…Moreover, the proposed method exhibited good spatial applicability (field-scale: Moran Index (MI) = -0.18; regional-scale: MI = 0.19). …”
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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

“…The spectral reflectance data were further analyzed for vegetation indices to evaluate the correlation between the variables. Moran’s global index and map analysis were used to determine spatial clustering patterns and correlations between variables. …”
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Seasonal Variations of the Urban Thermal Environment Effect in a Tropical Coastal City by Yao Yuan, Chen Xi, Qian Jing, Ndayisaba Felix

“…The gravity center model of UHII and Moran’s I (a spatial autocorrelation index) were used to analyze the spatiotemporal variations of SUHI. …”
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Analysis of Urban Residents' Sports Consumption Demand Based on Intercepted Regression Model by Qing Liu

“…On the other hand, based on the spatial and spatial spillover points of view, we use spatial analysis framework combined with exploratory spatial data analysis and GIS to investigate spatial correlation between consumption structure and housing price, and accurately reflect the spatial clustering status of the index by drawing. …”
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Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study by Zhongmin Zhang, Hengyi Xu, Jing Pan, Fujian Song, Ting Chen

“…Positive spatial autocorrelation existed in the per capita Baidu index of e-cigarettes from 2015 to 2022. …”
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Spatiotemporal dynamic and regional differences of public attention to vaccination: An empirical study in China. by Yaming Zhang, Xiaoyu Guo, Yanyuan Su

“…<h4>Methods</h4>Based on the collection of Baidu search indices for vaccination-related keywords in 363 cities in China, This paper seeks to explore the spatiotemporal changes and regional differences in public attention toward vaccination in China by using the seasonal index, seasonal concentration index, Herfindahl index, Moran index, and Dagum Gini coefficient.…”
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Spatiotemporal Heterogeneity and Driving Force Analysis of Innovation Output in the Yangtze River Economic Zone: The Perspective of Innovation Ecosystem by Ke Liu, Yurong Qiao, Qian Zhou

“…The results show the following. (1) Innovation output showed an increasing trend, and the high-value concentration cities in downstream areas gradually became prominent, the geographical concentration degree fluctuated and declined, and the distribution of innovation output gradually became balanced. (2) The global Moran’s I index of innovation output shows a fluctuation pattern of “M” shape and an overall upward trend. …”
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Desenvolvimento de um índice de vulnerabilidade em saúde nos municípios do Ceará by Gerlânia Maria Rocha Sousa, Maria Elisa Zanella, Patrícia Verônica Pinheiro Sales Lima, João Luís Sampaio Olímpio, Marysol Dantas de Medeiros, Andréa Ferreira da Silva

“…To complement the study, the Global and Local Moran indices were also calculated, allowing us to visualize the spatial autocorrelation of the HVI in relation to the state's municipalities, verifying whether or not these localities are similar to their respective close neighbors. …”
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Spatiotemporal Dynamics of Land Use Carbon Balance and Its Response to Urbanization: A Case of the Yangtze River Economic Belt by Xinling Jiang, Xu Chu, Xinyu Yang, Ping Jiang, Jing’an Zhu, Zhongyao Cai, Siqi Yu

“…This study develops a city-level land use carbon balance system to quantify the spatiotemporal dynamics of land use carbon balance across 130 cities in the Yangtze River Economic Belt (YREB). Moran’s Index is applied to assess the spatial correlation of carbon balance, and the Environmental Kuznets Curve (EKC) is used to explore the relationship between urbanization levels and net carbon emissions. …”
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Examining spatiotemporal dynamics of CO2 emission at multiscale based on nighttime light data by Binbin Zhang, Zongzheng Liang, Wenru Guo, Zhanyou Cui, Deguang Li

“…Thereafter, the global Moran's I index of exploratory spatial data analysis is used to verify the spatial parameters of all provinces. …”
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A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU... by Menglin Yan, Jingyang Lu, Yingying Ma, Chao Ma

“…The Theil-Sen (T-S) Median trend analysis &amp; Mann-Kendall (M-K) trend test, Hurst index, correlation analysis, partial correlation analysis, residual analysis and bivariate spatial autocorrelation (Bi-SA) analysis were used for quantitative analysis. …”
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Dimensi Spasial Determinan Kemiskinan Kabupaten/Kota di Provinsi Aceh by Muhammad Fathahillah Dewantara Almismary, Dyah Retno Panuju, Galuh Syahbana Indraprahasta

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Cities as innovation poles in the digital transition. The Italian case by Giuseppe Borruso, Ginevra Balletto

“…Cities were ranked within the urban life cycle model, employing LISA (Local Moran's I) as a method for analysis and clustering. …”
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Geographic disparities in physical and mental health comorbidities and socioeconomic status of residence among Medicaid beneficiaries in Utah by Roberta Z. Horth, Roberta Z. Horth, Roberta Z. Horth, Srimoyee Bose, Srimoyee Bose, Carl Grafe, Carl Grafe, Navina Forsythe, Angela Dunn

“…There was a statistically significant spatial autocorrelation of the prevalence of complex needs (Moran’s I index: 0.65; p &lt; 0.001). …”
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Monitoring of Land Subsidence and Analysis of Impact Factors in the Tianshan North Slope Urban Agglomeration by Xiaoqiang Yi, Lang Wang, Hui Ci, Ran Wang, Hui Yang, Zhaojin Yan

“…Land uplift mainly occurs in Hutubi County and Manas County. (2) From the transition matrix, landscape pattern index, and Moran’s I, the spatiotemporal patterns of the land subsidence rate are obvious, with a spatial positive correlation. …”
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Spatiotemporal Evolution and PLUS Simulation Prediction of Ecosystem Service Value in the Southern Jiangsu Urban Agglomeration Based on Land Use Changes by Qingqing Ma, Shi He, Haitao Jing, Wensheng Wang, Shiye Zhang, Xiujuan Liang

“…The relationship between land use and ESV is negative, as evidenced by both the comprehensive land use (LA) and the Moran’s I index. Scenario predictions reveal that farmland, forest land, and grassland show a decreasing trend under the NDS, while it is the opposite under the EPS. …”
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Level measurement, regional variations, and the dynamic evolution of active aging in China—analysis based on CHARLS tracking data by Jiru Guo, Xiaoli Zhang, Xiaoli Zhang, Longyin Chen, Hong Yang

“…Exploring the current state and evolutionary trends of active aging over the past decade is a fundamental prerequisite and the primary task for implementing this strategy.MethodsBased on data from the China Health and Retirement Longitudinal Study (2011-2018), this study primarily employs methods such as the entropy method, Gini coefficient, Moran index, and Kernel density estimation to analyze the development level, regional differences, and dynamic evolution of active aging in China.Results(1) From a general point of view, the overall level of active aging in China has not been high in the past decade, but has shown a rising trend year by year. …”
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