Decadal Variation Characteristics of Surface Wind Speed in Northwest China during 1979 -2020 by Yong WANG, Zihan ZHOU, Chenghai WANG, Dong XIAO, Haojun QIN, Wubin HUANG

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Uncovering the Tradeoffs and Synergies of Ecosystem Services in Mining Landscapes: Spatiotemporal and Factor Detection Perspective by Jiao Pan, Tao Chen, Antonio Plaza

“…This study provides quantitative evidence of ecosystem degradation and the intricate interrelationships among ESs in mining landscapes, highlighting the critical role of coupled spatial models in uncovering underlying patterns and mechanisms. …”
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Structural Evolution of the Coastal Landscape in Klaipėda Region, Lithuania: 125 Years of Political and Sociocultural Transformations by Thomas Gloaguen, Sébastien Gadal, Jūratė Kamičaitytė, Kęstutis Zaleckis

“…Landscapes as evolving expressions of land use and land cover patterns offer a valuable lens to analyse these changes. …”
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Exploring the Relationship Between the Built Environment and Bike-Sharing Usage as a Feeder Mode Across Different Metro Station Types in Shenzhen by Yiting Li, Jingwei Li, Ziyue Yu, Siying Li, Aoyong Li

“…These findings enhance our understanding of how the built environment shapes bike-sharing–metro integration patterns and support more targeted planning interventions.…”
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Can artificial intelligence equitably mitigate climate change? Spatiotemporal evidence from Chinese cities by Lu Liu, Chenjing Yan, Ping Wang

“…Artificial Intelligence (AI) is emerging as a critical enabler of climate mitigation. However, its spatial and temporal impacts remain insufficiently understood. …”
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Multi-Scenario Simulation of Ecosystem Service Value in Xiangjiang River Basin, China, Based on the PLUS Model by Lisha Tang, Jingzhi Li, Chenmei Xie, Miao Wang

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Evaluation and Optimization Strategies for Provincial Culture and Tourism Integration from the Perspective of Landscape Narrative: A Case Study of Anhui Province, China by Yunxi Hong, Li Tu, Minghe Wan

“…Taking Anhui Province, China, as a case study, this research builds a five-dimensional evaluation system covering culture–tourism economy, cultural resources, tourism resources, transportation accessibility, and policy support. Using spatial analytical methods such as Moran’s I and the Spatial Autoregressive (SAR) model, the study identifies clear spatial clustering patterns and influential factors. …”
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Natural movement: Measuring optimal pathway configuration of museum layout and pedestrian accessibility through visibility graph analysis and intelligent agent simulation by Xiang Wang, Mengsi Yang, Weicong Li, Lin Yuan, Qimeng Ren, Qian Xie, Runze Liu

“…This study explores the interaction between spatial configuration, natural mobility, and visual accessibility in exhibition spaces, an area that remains underexplored. …”
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The Characteristics and Influencing Factors of Rural Industrial Integration Land in China: A Case Study in Qingdao, Shandong Province by Bailin Zhang, Xueting Chen, Yan Zhou, Yining Zhang, Bingqian Zhai

“…Rural industrial integration land has emerged with the rise of new industries in rural China, exhibiting spatial distribution patterns distinct from traditional industrial land. …”
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Toward accurate and scalable rainfall estimation using surveillance camera data and a hybrid deep-learning framework by Fiallos-Salguero Manuel, Soon-Thiam Khu, Jingyu Guan, Mingna Wang

“…However, traditional rainfall measurement methods face limitations regarding spatial coverage, temporal resolution, and data accessibility, particularly in urban settings. …”
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The Prohibition of Forestation on Cultivated Land in China: A Difference-in-Differences Model Analysis of the Effects of Cutting Down Trees on Farmland Transfer by Guanghao Li, Guanyi Yin, Wei Wei, Qingzhi Sun, Zhan Zhang, Shenghao Zhu

“…This paper suggests that short-term policies prohibiting forestation can trigger abrupt changes in farmland transfer patterns and drive further changes in the spatial configuration of farmland. …”
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Geospatial analysis of limited access to drinking water services in East African countries: insights from recent demographic and health surveys by Gelila Yitageasu, Kassaw Chekole Adane, Amensisa Hailu Tesfaye, Amensisa Hailu Tesfaye, Zemichael Gizaw, Tigist Kifle, Lidetu Demoze

“…Data were gathered from 206,748 households. Global spatial autocorrelation was performed to analyze whether the pattern of limited access to drinking water service is clustered, dispersed, or random across the study areas. …”
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Characteristics of Land Use Change and Evaluation of Ecological Sensitivity in Chongqing by XIE Xianjian, GOU Qiantao, WU Han

“…Specifically, the Coupled Spatial Distance Index Model, Spatial Autocorrelation Analysis, Geodetector Model, and Grid Coding techniques were applied to evaluate the ecological sensitivity comprehensively. …”
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Clinical and molecular epidemiology of chikungunya outbreaks during 2019–2022 in India by Naren Babu N, Anup Jayaram, Ujwal Shetty, Prasad Varamballi, Piya Paul Mudgal, Vikas Suri, Mini P. Singh, Kamaljeet Kamaljeet, Sachee Agrawal, Mala Kaneria, Seema Kini, Anupam Dey, Dhriti Sundar Das, Shakuntala Mahilkar, Garvita Mathur, Sakshi Chaudhary, P. Sanjai Kumar, Sharad Singh, Sweta Smita Pani, Soma Chattopadhyay, Sujatha Sunil, Baijayantimala Mishra, Jayanthi Shastri, R. K. Ratho, Anitha Jagadesh

“…Three of the four clinical sites had reported CHIKF outbreaks at different time points during the study period, and a distinct pattern of clinical presentation was observed across the sites. …”
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Fine-grained analysis and mapping of urban flood susceptibility with interpretable machine learning: A case study of Hefei, China by Ziyao Xing, Guijia Lyu, Yu Yao, Zhe Liu, Xiaodong Zhang

“…An improved spatial weight matrix is proposed to perform spatial autocorrelation for revealing spatial distribution of flood susceptibility, and the local factors are explained by LIME to provide a fine-grained analysis of different regions.New hydrological insights for the region: (1)NDVI is the most influential factor emphasizing the importance of green spaces in urban flood regulation. (2)Micro-topography significantly affects urban flood susceptibility, and normalizing DSM based on micro-watersheds provides an accurate representation. (3)High flood susceptibility in Hefei, as revealed by spatial autocorrelation analysis, follows patterns similar to built-up areas and is influenced by major roads. …”
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Body-Size Change in a Rodent Is Affected by Environmental Warming and Population-Specific Thermoneutral Zone by Yan Chen, Ke Li, Stefan Sommer, Arpat Ozgul, Yizhen Zhang, Deng Wang

“…Rodent body size often exhibits a diversity of temperature–size patterns among and within species, which might be caused by differential thermoneutral zones (TNZs) and experienced extents of warming. …”
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Depth Gradient and Radon Activity Concentration in Soil Gas in the Zone of a Potentially Active Fault by Timofey Leshukov, Konstantin Legoshchin, Kirill Avdeev, Elizaveta Baranova, Aleksey Larionov

“…Radon activity concentration was measured in 0.6 m, 1 m and 1.5 m boreholes, and the depth gradient was also calculated. Spatial patterns were estimated using an autocorrelation index. …”
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Optimizing maize cultivation through Fuzzy AHP: Balancing land suitability, land use, and environmental sustainability by Samsu Arif, Sumbangan Baja, Nurmiaty Nurmiaty, Erfan Syamsuddin, Syamsuddin Syamsuddin

“…Using a two-stage Fuzzy AHP, 12 criteria (e.g., slope, landslide risk, rainfall) were normalized via fuzzy membership functions and weighted through expert pairwise comparisons in a GIS framework, with spatial autocorrelation identifying clustering patterns. …”
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New perspectives under heterogeneity: mechanism of nutrient heterogeneity on Cd-induced hormesis of soil respiration by Qian Gao, Jiangshan Yang, Junyang Wu, Yongli Zhu, Yongli Zhu, Diwu Fan, Jiangang Han, Jiangang Han

“…Studies on hormesis in soil ecosystems have made significant progress, but most of them have overlooked the impact of soil nutrient spatial heterogeneity on hormesis. To examine the effects of nutrient spatial heterogeneity on the hormesis of soil ecosystem under cadmium (Cd) stress, we constructed three patches with different spatial nutrient distribution but the same total nutrient content through different spatial discharge patterns. …”
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Global, regional, and national burden of mental disorders among women of reproductive age, 1990–2021: a systematic analysis of the global burden of disease study 2021 by Yifan Cheng, Yutong Zhao, Ziqing Xu, Shuaibing Wang, Jicun Zhu, Qian Yang, Yuanlin Zou, Tiandong Li, Haiyan Liu, Hua Ye, Jianxiang Shi, Kaijuan Wang, Chunhua Song, Peng Wang

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