An Analysis of the Status of Urban Development Indicators with a Spatial Justice Approach, Case Study: Ilam city by Fatemeh Mirzabeigi, Hossein Mojtaba Zadeh, Rahim sarvar

“…The purpose of this analytical research is on the status of Ilam urban development indicators in order to achieve spatial justice, which uses the capabilities and facilities of geographic information system, including: map composition, Spatial statistics, etc. have been done. The results show that the spatial distribution of services in Ilam city is not desirable and the results of this study show that the concentration of urban facilities and services has occurred in the central part of the city and other areas are low in terms of urban resources and facilities. …”
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An Analysis of Spatial Distribution of Urban Services with Focus on Social Justice and Emphasis on Citizens\' Satisfaction (Case Study: District 11 of Mashhad) by ahmad asadi, roghayeh kalateh meymari

“…In order to analyze the distribution of urban services, the index of access to urban services has been used, which is derived from land use plans of Mashhad city and municipal information and obtained from network analysis (ANP) and spatial statistics tests. Also, to assess the satisfaction of citizens from the distribution of urban services through a questionnaire and using one-sample T-test in spss software. …”
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Spatiotemporal characteristics and determinants of urban expansion in China: perspective of urban agglomerations by Ming Li, Yongwang Cao, Yongwang Cao, Jianxin Song, Huining Li, Mengyin Liang

“…Urban expansion is a research hotspot, while previous studies have rarely compared the characters and determinants of urban expansion within and outside UAs.MethodsConsidering the case of China, based on the China Land Use/Cover Dataset (CLUD), this study use spatial statistics analysis and Theil index to compare the spatiotemporal characteristics of urban expansion within and outside UAs during 1990–2020. …”
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Equitable transportation and resilience hubs: Analysis of underserved population needs, usage, and travel behaviour by Thayanne G.M. Ciriaco, Syeda Narmeen Zehra, Veronica Wambura, Stephen D. Wong

“…We also calculated spatial statistics to identify how mode choices varied with people’s preferred resilience hub locations. …”
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Reduced white matter integrity and disrupted brain network in children with type 2 and 3 spinal muscular atrophy by Huirong Nie, Shasha Lan, Huan Wang, Pei Xiang, Mengzhen Yan, Yang Fan, Wanqing Shen, Yijuan Li, Wen Tang, Zhiyun Yang, Yujian Liang, Yingqian Chen

“…The tract-based spatial statistics (TBSS) was used to assess white matter integrity and the structural network properties were calculated based on DTI white matter fiber tracking and the graph theory approach. …”
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Apathy Is Correlated with Widespread Diffusion Tensor Imaging (DTI) Impairment in Amyotrophic Lateral Sclerosis by Cinzia Femiano, Francesca Trojsi, Giuseppina Caiazzo, Mattia Siciliano, Carla Passaniti, Antonio Russo, Alvino Bisecco, Mario Cirillo, Maria Rosaria Monsurrò, Fabrizio Esposito, Gioacchino Tedeschi, Gabriella Santangelo

“…Using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS), here we aimed to quantify the correlation between brain microstructural damage and apathy scores in the early stages of ALS. …”
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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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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. Spatial weight matrices are constructed from two aspects of geographical characteristics and innovative input characteristics. …”
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Spatial analysis of annual precipitation of Khuzestan province; An approach of spatial regressions analysis by Saeed balyani

“…In order to determine of precipitation model and forecasting it, there are different models, but given that the precipitation data have a spatial autocorrelation, the spatial statistic is a powerful tool to recognition of spatial behaviors. …”
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Numerical Analysis of Chaos in a Phononic Crystal Waveguide with Circular Inclusions of Real Materials by Hugo Enrique Alva-medrano, Héctor Pérez-aguılar, Alejandro Bucio

“…In this system, we use the numerical technique of the integral equation, which allows us to obtain the pressure field corresponding to the normal modes in a range of frequencies. In addition, spatial statistical properties of pressure intensity such as the autocorrelation function (ACF) and its standard deviation called correlation length were calculated. …”
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A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China... by Chuyi Guo, Yuchi Yang

“…This study develops a multi-modal data analysis framework, incorporating social media data, topic modeling, and spatial statistical techniques. Using Xi’an, China, as a typical case, it examines how public activities change over time and space, how they interact with urban spaces, as well as how different aspects of the built environment shape public perception.The main findings are as follows:(1) Public activity varies significantly across day and night, interacting in complex ways with urban spatial elements;(2) Public activity is driven by multiple interconnected factors;(3) The built environment affects public perception unevenly, with certain spatial elements evoking strong emotional resonance and reinforcing cultural identity;(4) A dynamic feedback loop exists between public activity and perception.This research offers novel insights into precision-oriented, human-centered, and sustainable urban development.…”
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The Spatiotemporal Pattern of the Aerosol Optical Depth (AOD) on the Canopies of Various Forest Types in the Exurban National Park: A Case in Ningbo City, Eastern China by Yufeng Chi, Shudi Zuo, Yin Ren, Kaichao Chen

“…This quantitative research integrated remote sensing and ground survey data and used spatial statistical methods to explore the drivers that influence the AOD of the exurban national forest park and analyze the differences between various forest types. …”
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Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network. by Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji

“…However, limited data are available for this estimation in the introduction stage. Spatial statistical models have been used to address the lack of information by considering the observations of neighbors or integrating multiple data sources based on the assumption of spatial correlation. …”
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Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow by Xiaoxiao Wang, Haiping Zhang, Zitong Li, Xin Yang, Ziyi Qian, Duo Bian, Yongxin Zhao

“…This research focuses on cities in China, analyzing the spatial patterns and factors that affect city influence using spatial statistical methods. The results show that 69% of the cities that exhibit a strong preference are geographically closer to the more influential cities, emphasizing the role of geographical proximity in shaping urban influence in the digital age. …”
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Unveiling the drivers of vancomycin-resistant enterococcus in China: A comprehensive ecological study by Jiongjiong Wang, Xiaoying Li, Xinying Du, Huiqun Jia, Hui Chen, Jian Wu, Guangcai Duan, Haiyan Yang, Ligui Wang

“…Spearman's rank correlation, beta regression, and spatial statistical analysis were performed using R version 4.2.2 and ArcGIS version 10.7. …”
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Crowdsourced Indicators of Flora and Fauna Species: Comparisons Between iNaturalist Records and Field Observations by Hyuksoo Kwon, Bumsuk Seo, Jungin Kim, Heera Lee

“…This study demonstrates how large volumes of citizen science and social media data can be analyzed to reveal patterns of human interactions with nature through unconventional, scalable methods. By applying spatial statistical methods, data from the citizen science platform iNaturalist are analyzed and compared with ground-truth visitation data. …”
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Towards global elimination of lymphatic filariasis: a systematic review of the application of spatial epidemiological methods to enhance surveillance and support elimination progra... by Angela Cadavid Restrepo, Colleen L Lau, Beatris Mario Martin, Helen J Mayfield

“…Thirty-one (50.8%) studies used spatial statistical modelling, with model-based geostatistics being the most common method. …”
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