Spatio-Temporal Variation and Drivers of Land-Use Net Carbon Emissions in Chengyu Urban Agglomeration, China by Wen Wang, Xin Wang, Li Wang, Zhihua Zhang, Daren Lyu

“…In this study, the land-use net carbon emissions (LCN) calculation and evaluation model was built based on the perspective of land-use change. …”
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Presenting the Physical Pattern of Today's Housing by Taking Advantage of the Desirable Qualities of Historical Houses (Case Study: Kerman City) by Amjad Bahredar, Ramin Madani, Mohsen Afshari

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The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method by Hong WANG, Qiaoshun YAN, Zujun ZHAO, Daxiang CHEN, Zhiming ZHANG

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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

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Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project by Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad, Fahad Shahzad, Qijing Liu, Waseem Razzaq Khan, Mansour Shrahili, Mohammad Javed Ansari, Timothy Dube

“…A predictive model for the Normalized Difference Vegetation Index (NDVI), supported by SHAP analysis, identified soil moisture and precipitation as primary drivers of vegetation growth, with the ANN model achieving an R2 of 0.8556 and an RMSE of 0.0607 on the testing dataset. …”
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On the division of things into immovable and movable by Nikolić Dušan Ž.

“…In this context, it should be noted that apart from the GPS, there are also precise digital programs and models that enable predictive land mapping (digital land surface models for predictive mapping). …”
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Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

“…Semantic segmentation, as a dense predictive task, is inevitably affected by various external factor, making common road image semantic segmentation models unable to meet dual demands of high accuracy and real-time performance in unstructured road scenarios. …”
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Analysis and Optimization of Soil Nail Parameters in a Deep Foundation Pit of Silty Clay Based on Response Surface Methodology by FAN Cheng, WANG Zi-yuan, QI Peng-fei, ZHANG Hong-bin, ZHANG Tiao-tiao

“…In the combined effect of support parameters, the soil nail length and spacing have the greatest impact on the safety factor. The predictive model established by the response surface method can provide the best optimization scheme. …”
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Artificial intelligence and machine learning to enhance critical mineral deposit discovery by Rhys S. Davies, McLean Trott, Jaakko Georgi, Alexander Farrar

“…Broader adoption of statistical methods, integrated spatial models, and innovative data preparation techniques can address the inconsistencies in exploration datasets. …”
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Optimization of an aircraft flight trajectory in the GLONASS dynamic accuracy field by O. N. Skrypnik, N. G. Arefyeva, R. O. Arefyev

“…The accuracy field of the satellite navigation systems can be characterized by the geometric factor (spatial, horizontal and vertical). The geometric factor of the satellite navigation system is determined by the relative position of the consumer and the satellites upon which the navigation problem is solved, and is a deterministic value. …”
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Enhanced characterization of hydraulic conductivity via standard penetration test for sandy soils and weathered rocks by Wanhyuk Seo, Eomzi Yang, Tae Sup Yun

“…This approach significantly enhances spatial and depth-wise characterization of subsurface K, offering a practical solution for groundwater flow modeling and geotechnical design with improved resolution.…”
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Cannabis pollen dispersal across the United States by Manu Nimmala, Shane D. Ross, Hosein Foroutan

“…As a step towards assessing hemp cross-pollination risk, this study characterizes the seasonal and spatial patterns in windborne hemp pollen dispersal spanning the conterminous United States (CONUS). …”
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Space Deficits in Parkinson’s Disease Patients: Quantitative or Qualitative Differences from Normal Controls? by D. Natsopoulos, M.-S. Bostantzopoulou, Z. Katsarou, G. Grouios, G. Mentenopoulos

“…Twenty-seven patients with idiopathic Parkinson's disease (PD) and the same number of normal controls (NCs) were studied on a test battery including five conceptual categories of spatial ability. The two groups of subjects were matched for age, sex, years of education, socioeconomic status and non-verbal (Raven Standard Progressive Matrices) intelligence. …”
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Deep Learning-Based Infrared Image Segmentation for Aircraft Honeycomb Water Ingress Detection by Hang Fei, Hongfu Zuo, Han Wang, Yan Liu, Zhenzhen Liu, Xin Li

“…Through rigorous experimentation, our model surpasses existing benchmarks, yielding a commendable 22.44% reduction in computational effort and a substantial 38.89% reduction in parameter count. …”
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Toward a Multidecadal SAR Analysis of Sea Ice Types in the Atlantic Sector of the Arctic Ocean by Wenkai Guo, Jack Landy, Johannes Lohse, Anthony P. Doulgeris, Malin Johansson, Torbjorn Eltoft, Polona Itkin, Shiming Xu

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Urban expansion, economic development, and carbon emissions: Trends, patterns, and decoupling in mainland China’s provincial capitals (1985–2020) by Jiahui Zhao, Wei Chen, Zixuan Liu, Wei Liu, Keyan Li, Bei Zhang, Yonggen Zhang, Le Yu, Tetsuro Sakai

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The Integration of Land Use Planning and the Varied Responses of Coupled Human–Natural Systems: A Case Study of Changning County in Southwest China by Yanlan Xie, Xiaobo Liu, Xiaoshuang Zhuo, Shaoyao Zhang, Hao Zhang

“…The results are as follows: (1) The TG was classified into five categories that were stratified according to the coupling intensity and orientation of the socioeconomic system and natural ecosystems in Changning County. (2) The transition type with the most complex socio-ecological coupling was the type of semi-socioeconomic process–semi-natural ecological process, occupying 32.6% (309.4 km²) of the county’s total area in 2000 and demonstrating the most pronounced spatial dynamics, exhibiting a reduction of 78.6 km² during the study period. (3) Negative impacts on TG dynamics were observed for the conversion of ecological space into agricultural production space (<i>p</i> < 0.01; R² > 0.24) and the dynamic degree of PLE transformations (<i>p</i> < 0.01; R² > 0.13). (4) The impacts of trends in PLE on the TG varied significantly across temporal phases, whereas the CONTAG index exhibited consistently non-significant effects throughout all study periods. …”
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Mitigating Risks in Hospital Facilities—An Analysis of the Relationship Between Healthcare Risks and the Built Environment: A Literature Review and Survey in the Italian Scenario by Beatrice Pattaro, Michele Dolcini, Andrea Brambilla, Stefano Capolongo

“…The results reveal critical gaps in implementation, particularly in spatial flexibility, environmental monitoring, and antimicrobial surfaces. …”
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High-Speed Railway Planning for Sustainable Development: The Role of Length Between Conventional Line and Straight Length by Francesco Russo, Corrado Rindone, Giuseppe A. Maiolo

“…The research problem that arises is to analyze the high-speed lines built in order to verify, given a pair of extreme terminals, how much the length is reduced by passing from a conventional line to a high-speed line, and to verify how this length is getting closer and closer to the distance as the crow flies. The reduction of spatial distance produces direct connections between two territories, making the railway system (HSR) more competitive compared to other transport alternatives (e.g., air travel). …”
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Dynamic land use efficiency and human-land relationship in traditional industrial cities by Xianglong Kong, Xianglong Kong, Yutong Wu, Peng Cui, Yiwen Sun, Guangpu Wei

“…Studying the dynamic land utilization efficiency during urbanization is crucial for understanding the human-land relationship in cities facing economic decline.MethodsUsing land utilization and population data from 2000 to 2020, a dynamic land utilization efficiency index was developed to identify patterns in land utilization dynamics at the district and county level and assess the coordination of human-land relationships at the municipal level. The spatial structural relationships among districts and counties are analysed using the Getis-Ord Gi* statistical model, while the co ordination mechanisms of human-land interactions are explored through the Kaya identity and the Logarithmic Mean Divisia Index (LMDI).ResultsThe results demonstrate that 40.9% of counties suffer from low land utilization efficiency. 57.6% of cities experience simultaneous population decline and expansion of urban-rural construction land. …”
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