A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

“…The simulation differences were quantified through spatial consistency analysis. By comparing the performance of the two methods in land use change prediction, this study reveals the divergent characteristics of the two approaches in capturing complex transformation patterns. …”
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Design and Development of a Side Spray Device for UAVs to Improve Spray Coverage in Obstacle Neighborhoods by Fanrui Kong, Baijing Qiu, Xiaoya Dong, Kechuan Yi, Qingqing Wang, Chunxia Jiang, Xinwei Zhang, Xin Huang

“…To explore suitable spray patterns for the side spray device, comparative experiments of droplet coverage in obstacle neighborhoods were carried out under different environments, spray patterns, and flight parameter combinations. …”
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The effect of green technology innovation on air pollution from a quantity–quality perspective in China’s large river basins by Guangzhi Qi, Zhibao Wang, Chao Teng, Jinli Zhao, Yu Cheng, Chengxin Wang

“…Using the extended STIRPAT and spatial Durbin models, we examine nonlinear relationships, basin-specific heterogeneity, and spatial spillover effects. …”
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A dataset of gridded precipitation intensity-duration-frequency curves in Qinghai-Tibet Plateau by Zhihui Ren, Yan-Fang Sang, Peng Cui, Fei Chen, Deliang Chen

“…The generalized extreme value distribution is chosen to fit the annual maximum precipitation samples at 203 weather stations, based on which the at-site IDF curves are estimated; then, principal component analysis is done to identify the southeast-northwest spatial pattern of at-site IDF curves, and its first principal component gives a 96% explained variance; finally, spatial interpolation is done to estimate gridded IDF curves by using the random forest model with geographical and climatic variables as predictors. …”
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Spatio-Temporal neighbors adaptive learning with two-point differences for ocean subsurface temperature reconstruction from 1960 to 2022 by An Wang, Hua Su

“…By integrating geoscience domain knowledge and utilizing spatiotemporal autocorrelation, ASTEN simultaneously learns the spatial pattern and temporal variation of subsurface temperature, and significantly enhances the interpretability and accuracy of ocean temperature reconstructions over a long time series compared to the DINCAE and DINEOF. …”
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Temporal Denoising of Infrared Images via Total Variation and Low-Rank Bidirectional Twisted Tensor Decomposition by Zhihao Liu, Weiqi Jin, Li Li

“…Existing denoising techniques primarily address fixed-pattern noise (FPN) and do not effectively mitigate TRN. …”
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The Driving Path of China’s Urban Resilience Enhancement in the Digital Economy Era by Liang Tang, Haifeng Jiang, Zhenling Zhang, Shanshan Hou, Bo Liu

“…The study showed that there were large regional differences in the urban resilience index, with an overall spatial pattern of “good in the east, middle in the center, and low in the west” and an overall trend of gradual increase. …”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…Despite the progress in deep learning, issues such as occlusion, distraction from the background, and motion pattern variability still exist, thus restricting the generalization ability of current models. …”
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Energy Stealth Evaluation of Radar Systems with a Space–Time Modulated Probing Signal by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…In addition, the effect of the deviation of the phased array pattern from the direction to the carrier of the power receiver was analyzed. …”
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A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains by Keqi Li, Qingwu Yan, Zihao Wu, Guie Li, Minghao Yi, Xiaosong Ma

“…The overall distribution pattern exhibited a spatial feature of south higher, north lower, where the southern region displayed a clear high-high clustering characteristic, exerting a positive and radiating influence on surrounding areas. (2) The main driving factors of the spatial heterogeneity are DEM, precipitation, NPP, GDP, and PM2.5. …”
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The Role of GIS in Shaping Contemporary Geographical Thought: A Philosophical Perspective by Omar Abdullah Ismaeel, ِِAahed Dhannoon Alhamamy

“…Therefore, there is a need to develop geographic information systems (GIS) to be more comprehensive and equitable in representing and analyzing spatial data. On the other hand, GIS integrated with artificial intelligence has opened new aspects for sustainable planning and accurate analysis of spatial patterns. …”
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Identifying supply–demand mismatches of ecosystem services and social-ecological drivers at different scales to support land use planning by Fan Tian, Xueping Li, Xue Wu, Lu Gong

“…This study attempted to examine the spatial patterns and interactions of five ESs supply–demand dynamics and reveal their responses to social-ecological drivers to propose optimization strategies for sustainable land management at different scales. …”
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A Coupled Coordination and Network-Based Framework for Optimizing Green Stormwater Infrastructure Deployment: A Case Study in the Guangdong–Hong Kong–Macao Greater Bay Area by Jiayu Zhao, Yichun Chen, Rana Muhammad Adnan Ikram, Haoyu Xu, Soon Keat Tan, Mo Wang

“…Four spatial clusters were identified based on levels of GSI disparity. …”
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Adaptive Taylor Kolmogorov–Arnold Network for Hyperspectral Image Classification by Yichen Liu, Xin Zhang, Zitong Zhang, Hanlin Feng

“…It also employs the Taylor series instead of B-spline functions for activation functions, ensuring smooth approximations and enhancing the ability to model nonlinear patterns. In addition, ATKAN incorporates adaptive feature shifts along the spatial axis, channel grouping, and shuffling mechanisms to improve information processing efficiency and reduce computational consumption. …”
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Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer by Ruowu Wu, Yandan Liang, Lianlei Lin, Zongwei Zhang

“…First, we designed a spatial attention encoder-decoder to comprehensively explore spatial representations for extracting and reconstructing spatial features. …”
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A time series of urban extent in China using DSMP/OLS nighttime light data. by Yao Yao, Dongsheng Chen, Le Chen, Huan Wang, Qingfeng Guan

“…We also identified three patterns of urban sprawl: Early Urban Growth, Constant Urban Growth and Recent Urban Growth. …”
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Design and evaluation of a problem-based learning VR module for apparel fit correction training. by Aditi Galada, Fatma Baytar

“…The current study explored the effects of PBL-based virtual reality (VR) training on learning how to correct two-dimensional (2D) apparel patterns to improve consequent 3D garment fit. Results indicated that the training module significantly improved spatial visualization and fit correction skills. …”
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A space syntax comparative study on sustainable historic districts: Al-Fahidi, UAE and Al-Darb Al-Ahmar, Egypt by Iman Ibrahim, Imene Soussi, Hadeel Al Qaysi

“…Based on the use of Space Syntax as its main analytical tool, this research investigates street networks, patterns of visibility, and spatial integration to clarify how far these configurations impact the dynamics of social interaction, the conservation of culture, and city development projects. …”
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Relations between theoretical and real-time accessibility for inter-regional, intra-regional and intra-urban car journeys:The example of Poland by Wiśniewski Szymon

“…The cognitive goal is to analyse the spatial differentiation of theoretical and real travel times at different spatial scales. …”
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Spatiotemporal evolution and prediction of blue–green–grey-space carbon stocks in Henan Province, China by Kai Zhou, Kai Zhou, Xinyu Wei, Yanjie Wang, Jinhui Wang, Zhifang Wang, Zhifang Wang, Yichuan Zhang, Yichuan Zhang

“…This total amount of carbon stocks decreased by 39.75 × 106 Mg from 2000 to 2020. The pattern of carbon-storage spatial distribution is characterised by ‘higher in the west and lower in the east’. …”
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