Modelling height to crown base using non-parametric methods for mixed forests in China by Zeyu Zhou, Huiru Zhang, Ram P. Sharma, Xiaohong Zhang, Linyan Feng, Manyi Du, Lianjin Zhang, Huanying Feng, Xuefan Hu, Yang Yu

“…Because of the different genetic characteristics and growth patterns of different tree species, species-specific tree groups were formed, and the HCB of each species-specific group was simulated by the different models. …”
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Spatiotemporal dynamics and driving mechanisms of total factor carbon productivity in China's provincial transportation sector by Yanming Sun, Yanming Sun, Jiale Liu, Qingli Li

“…Key findings include: (1) China's provincial TFCP-T exhibits an overall fluctuating upward trend, yet reveals a distinct spatiotemporal differentiation pattern characterized by “high efficiency and intensification in the eastern region versus gradient lag in the central and western regions.” (2) Significant spatial positive correlation and club convergence effects exist in China's transportation green total factor productivity, with western provinces facing risks of low-level lock-in. (3) Economic development level, openness to foreign trade, environmental protection intensity, and industrial structure upgrading positively promote TFCP-T, while consumption level and informatization level exert significant inhibitory effects. …”
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From Global to Local: Testing the UNEP Environmental Vulnerability Index in a Coastal Korea Context by SaMin Han

“…While the model’s explanatory power was modest (R² = 0.017), the regression nonetheless provides meaningful insight into how global indices can reflect local vulnerability patterns. The regression results confirm that based on historical hazard records, the international model effectively predicts Korean coastal vulnerability. …”
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Nonlinear Analysis of Bridges Considering Soil–Structure Interaction and Travelling Wave Effects Under Combined Train and Near-Fault Seismic Loads by Panagiota S. Katsimpini, George Papagiannopoulos, George Hatzigeorgiou

“…The investigation considers the spatial variability of ground motion and its influence on the bridge’s dynamic response, particularly examining how different wave velocities and coherency patterns affect structural behavior. …”
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Assessing Soil Degradation: A Comprehensive Study Using Soil Degradation Index (SDI) in Godrahav Watershed by Bülent Turgut, Sümeyye Güler

“…The SDI was calculated using the measured soil parameters including particle size distribution, aggregate stability, aggregation rate, mean weight diameter, dispersion rate, bulk density, porosity, field capacity, wilting point, organic matter content, pH and electrical conductivity. The spatial distribution patterns of these parameters were defined using geostatistical analyses. …”
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Effect of support position on the vibration-induced damage of frame structures by Shenghao Xu, Junhong Park

“…Based on this framework, the distribution patterns of optimal support spans with respect to excitation frequency are revealed by solving the spatially averaged transmissibility ratio (Tr). …”
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Spatio-temporal Coupling of Ecological Service Value and Human Activity Intensity in the Central Urban Area of Lhasa City by Jiarui ZHANG, Wangdwei MIGMAR, Li CHENG, Liyuan QIAN

“…Local cluster analysis further identified shifts in spatial patterns, with a 38.6% reduction in high-high clusters (areas with both high ESV and low HAI) and a 217% expansion in low-high clusters (areas with low ESV and high HAI), predominantly in newly urbanized areas. …”
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Coupling Coordination Evaluation and Optimization of Water–Energy–Food System in the Yellow River Basin for Sustainable Development by Pengcheng Zhang, Yaoyao Fu, Boliang Lu, Hongbo Li, Yijie Qu, Haslindar Ibrahim, Jiaxuan Wang, Hao Ding, Shenglin Ma

“…The evaluation index follows a spatial distribution pattern of midstream > downstream > upstream, characterized by a predominantly high coupling degree. …”
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Layering Public Park Histories: Uncovering the Effects of Restoration Idea[l]s in Post-War Urban Spaces in Germany and the U.S. by Laura Brannan Fretwell, Eliane Schmid

“…In Richmond, the construction of Chimborazo Park displaced and excluded an African American (Black) community during the aftermath of the Civil War, while Hamburg's Alsterpark was created within the city’s general post-World War II greening initiatives that included forced expropriation and behavior regulation. The joint spatial humanities based approach, which includes GIS modeling and archival source analysis, furthers historical investigation to more deeply understand patterns of displacement, exclusion, and social control. …”
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Research on ecological management zoning in Jilin Province based on a human well-being framework by Baihao Zhang, Jiafu Liu, Zhenyu Zhang, Yu Zhu

“…Food production services exhibit a spatial pattern characterized by an increase in the central region while declining in the eastern and western areas. …”
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The Grammar of Toponymic Constructions in the Light of Enactivism: A Methodological Perspective by Aleh Iharavich Kopach

“…The approach rests on the hypothesis that toponyms encode spatial orientation patterns shaped through embodied human experience. …”
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Spatiotemporal analysis of carbon emissions in the Yangtze River Delta Urban Agglomeration: Insights from nighttime light data (1992–2019) by Jing Gao, Shenglong Zhao, Lucang Wang, Xiaoping Wang

“…Researchers used nighttime light data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) and the National Polar-orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) to assess the evolution of carbon emission patterns. Advanced spatial analysis methods, including geographic autocorrelation, geographical panel modeling, and spatial Markov chains, were applied to explore the spatial impacts, processes, and regional context of these trends. …”
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Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated... by Gui Chen, Qingxia Peng, Qiaohong Fan, Wenxiong Lin, Kai Su

“…Then, the integrated model was used to analyze the spatial–temporal variation in land-use pattern and carbon storage at the county scale in China’s Daiyun Mountain’s Rim under four scenarios in 2032, and analyze the driving force of spatial differentiation of carbon storage. …”
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Current state and structure of native aggregations of pacifc oyster in the northern Amur Bay (Peter the Great Bay, Japan Sea) by D. A. Sokolenko, M. V. Kalinina

“…The largest number of such individuals is observed in the largest aggregations of oysters at Rechnoy Island (85.0 %) and at Skrebtsov Island (60.7 %). Spatial variations of the shells shape and ratio of size-physiological groups in the aggregations reflect patterns of the habitat conditions. …”
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Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning by Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

“…The long-term shifts in temperature and weather patterns, commonly referred to as climate change, is an important public health issue, especially with regard to COPD. …”
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces by Panos I. Philippopoulos, Kostas N. Koutrakis, Efstathios D. Tsafaras, Evangelia G. Papadopoulou, Dimitrios Sigalas, Nikolaos D. Tselikas, Stefanos Ougiaroglou, Costas Vassilakis

“…A total 15 methods/algorithms were evaluated against prediction accuracy across 20 RSSI datasets, incorporating diverse hall cell allocations and visitor movement patterns. RSSI data, temporal and spatial management with simple low-processing methods adopted, achieved a maximum prediction accuracy average of 81.53% across all datasets, while ML algorithms (Random Forest) achieved a maximum prediction accuracy average of 87.24%.…”
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Research on the measurement of rural resilience level and its development path in the eastern coastal area:A case study of Zhejiang province(东部沿海地区乡村韧性测度及其发展路径研究——以浙江省为例)... by 武前波(WU Qianbo), 胡嘉青(HU Jiaqing), 薛雯露(XUE Wenlu)

“…The results show that: (1) The spatial pattern of rural resilience level in Zhejiang province has relatively obvious divergent characteristics. (2) The spatial pattern of comprehensive resilience level in the province shows a trend of gradually weakening from the northern and eastern coastal areas to the southern and western areas, and a small cluster of middle and high values in the urban cluster of central Zhejiang. (3) The rural resilience of Zhejiang province has a strong positive spatial autocorrelation, and the hotspot areas in the Hangzhou Bay urban agglomeration area all show significant clustering characteristics, while the coldspot areas and sub-coldspot areas in western and southern Zhejiang present a larger range of significant clustering characteristics.(4) Based on the spatial differentiation patterns on different rural areas and the results of cluster analysis, we summarize the spatial circle concept map of rural resilience in Zhejiang province and propose differentiated strategies to improve the level of rural resilience.…”
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Spatial heterogeneity of influential factors of urban housing prices based on multiscale geographically weighted regression models: A case study of the main urban area of Guilin ci... by 李杰杰(LI Jiejie), 孙昌盛(SUN Changsheng), 张春英(ZHANG Chunying), 胡欣琪(HU Xinqi)

“…The results indicate that: (1) Significant spatial autocorrelation is observed in housing prices in Guilin City, and the local spatial autocorrelation reveals a distinct clustering pattern characterized by predominant "high-high" and "low-low" clusters, with smaller occurrences of "high-low" and "low-high" clusters. (2) Compared to ordinary least squares (OLS) model and geographically weighted regression (GWR) model, MGWR model demonstrates higher coefficients of determination, enabling more accurate measurement of the scale and spatial variability of variable effects on housing prices. (3) The age of housing, education/medical and business facilities serve as global variables; greening rate, public transportation infrastructure, railway facilities, living amenities, and tourist attractions exhibit moderate levels of spatial heterogeneity; external transportation facilities display greater spatial heterogeneity, exerting significant and distinctly varied effects on housing prices within local areas. (4) The age of housing, living amenities, and tourist attractions negatively influence housing prices negatively; education/medical, and business facilities positively influence housing prices; while other variables exhibit varying inhibitory or appreciative effects on housing prices across different spatial locations.…”
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The Representation of Architectural Space for Caspar David Friedrich: The Case Study of Eldena Abbey by Antonio Esposito

“…The aim of the proposed study is to analyse the architectural spatiality as defined by Friedrich in his paintings that have Eldena Abbey as their main architectural reference, using a methodology that uses 3D digital modelling as its main tool, in order to understand if the painter used any spatial compositional patterns in these paintings. …”
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Tailoring the optical properties of holey Si thin films by Sarah Zayouna, Mikko Erik Kjellberg, Stephan Schröder, Srinivasan Anand

“…This work demonstrates a novel scalable method that combines charged sphere colloidal lithography (CSCL) and dry etching to pattern spatially disordered nanoholes in Si thin films. …”
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