GaitTriViT and GaitVViT: Transformer-based methods emphasizing spatial or temporal aspects in gait recognition by Hongyun Sheng

“…The GaitTriViT leverages the ViTs to gain more fine-grained spatial features, while GaitVViT enhances the capacity of temporal extraction. …”
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Transient Stability Assessment of Power Systems Built upon Attention-Based Spatial–Temporal Graph Convolutional Networks by Yu Nan, Weiping Niu, Yong Chang, Zhenzhen Kong, Huichao Zhao

“…A spatiotemporal convolution module is then employed to effectively capture the spatial features and temporal evolution patterns of transient stability data. …”
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Research on Spatial–Temporal Differences and Convergence Characteristics of Ecological Total Factor Productivity of Cultivated Land Use in China by Shanwei Li, Yongchang Wu, Guangxuan Dai, Xueyuan Chen

“…Using the epsilon-based measure and the global Malmquist–Luenberger (EBM–GML) index, this study quantifies and decomposes ETFPCLU across China. Spatial–temporal variations and convergence patterns are systematically investigated via an analytical toolkit comprising the spatial mismatch index, Dagum’s Gini coefficient decomposition, and convergence models. …”
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Multifunctional Evaluation and Spatio-temporal Evolution Analysis of Cultivated Land in Guangdong Province by Junmei ZANG, Xiao FU, Shengxiang LIU, Hui LI

“…In terms of the spatio-temporal evolution of sub-functions, the spatio-temporal pattern of each function of cultivated land in Guangdong Province has changed significantly during the period of 2005-2020. …”
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Shoreline position trends in the Niger Delta: analyzing spatial and temporal changes through Sentinel-1 SAR imagery by Emmanuel Chigozie Dike, Bright Godfrey Ameme, Olumese Efeovbokhan

“…Various natural and human-induced processes operating across different temporal scales contribute to the spatial and temporal evolution of shoreline alterations. …”
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Characterizing spatio-temporal patterns of winter cropland cover in Germany based on Landsat and Sentinel-2 time series by Felix Lobert, Marcel Schwieder, Patrick Hostert, Alexander Gocht, Stefan Erasmi

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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

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Spatial-temporal baseline study of nutrients and trace elements characterization of a large tropical transition system in West Africa by Celso Paulo, João A. Carreiras, Susanne Tanner, Carmen Van-Dúnem dos Santos, Vanessa F. Fonseca, Bernardo Duarte

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Examination of the spatial-temporal variations in terrestrial water reserves and green efficiency of water resources in China's three northeastern provinces. by Yanying Wang, Xianzhi Wang, Longxue Zhao

“…By utilizing the sophisticated Super-SBM model, the study delves into the spatial and temporal variations in terrestrial water reserves and green water usage efficiency. …”
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Variabilidade espaço-temporal da condutividade elétrica da água subterrânea na região semiárida de Pernambuco Spatial temporal variability of electrical conductivity of groundwater... by Tafnes S. Andrade, Suzana M. G. L. Montenegro, Abelardo A. A. Montenegro, Diogo F. B. Rodrigues

“…One of the main variables used to measure the soluble salts concentration in irrigation water and soil is the electrical conductivity. This work aimed to evaluate the spatial and temporal variability of electrical conductivity of groundwater for irrigation in a semiarid rural settlement in the State of Pernambuco. …”
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Spatial and Temporal Variation in the Occurrence and Abundance of the Freshwater Turtles in Water Bodies of a Peri-Urban Area in the Midwestern Brazil by Elizângela Silva de Brito, NICOLLE B. F. PRADO, KLYSMAN F. F. ALMEIDA, LUCIANA M. VALÉRIO, Christine Strüssmann, Tainá F. Dorado-Rodrigues

“… In this study we evaluated spatial and temporal variations in the occurrence and abundance of freshwater turtles in four water bodies located in the headwaters of a stream in the peri-urban area of Campo Grande, Mato Grosso do Sul, Midwestern Brazil. …”
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Spatial–Temporal Transformer for Optimizing Human Health Through Skeleton-Based Body Sports Action Recognition by Faze Liang, Lejia Ou, Zujun Lei, Xiaohong Tu, Kai Xin

“…To address these gaps, we propose the Focal and Global Spatial-Temporal Transformer (FG-STTrans) framework, a novel multi-stage architecture designed to capture both localized and global spatial-temporal dependencies with high precision. …”
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Unravelling Bias: A Sardinian perspective on taxonomic, spatial, and temporal biases in vascular plant biodiversity data from GBIF by Raimondo Melis, Marco Malavasi, Manuele Bazzichetto, Maria Carmela Caria, Giovanni Rivieccio, Agnese Denaro, Elisa Marchetto, Michela Perrone, Martina Livornese, Duccio Rocchini, Simonetta Bagella

“…After mapping these biases, we used Generalized Additive Models (GAMs) to explore their environmental drivers, including road density, the standard deviation of the Normalized Difference Vegetation Index (NDVI), and topographic roughness. Additionally, we evaluated the influence of structured data sources (e.g., Wikiplantbase) versus citizen science platforms (e.g., PlantNet and iNaturalist) on observed bias patterns.Spatial bias was the most prominent, followed by temporal and taxonomic biases. …”
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Temporal-spatial variation of regulating ecosystem services and analysis of driving factors in Hainan Tropical Rainforest National Park, China by Leshan Du, Leshan Du, Haiyan Liu, Haiou Liu, Wenhui Liu, Ziyuan Li, Xiaoyan Liu, Junsheng Li, Zhanjun Quan, Ying Zhang

“…The analysis examines the temporal evolution patterns and spatial distribution of RESs, utilizing LightGBM to identify the primary driving factors of these services. …”
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Low-carbon transformation of China’s cities: evaluation and spatiotemporal pattern evolution by Jinghe Zhang, Caiquan Bai, Lei Zhou, Shanggang Yin

“…This study then examines the spatiotemporal pattern evolution of Chinese cities’ low-carbon transformation and uses geographically and temporally weighted regression to investigate the influencing factors. …”
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Tracking Urban Sprawl: A Systematic Review and Bibliometric Analysis of Spatio-Temporal Patterns Using Remote Sensing and GIS by Mohammad Raditia Pradana, Muhammad Dimyati

“…Suggestions for future research include using data with detailed spatial resolution and narrow study intervals while considering the patterns of urban sprawl formation. …”
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Analysis of Spatial and Temporal Changes and Driving Forces of Ecological Environment Quality in Tuojiang River Basin Based on RSEI Improved Modeling by ZHAO Xiaoyan, TAN Shucheng, ZHANG Su, LI Yongping, WU Han, WANG Chao

“…[Methods] Based on the Google Earth Engine platform, Landsat remote sensing images from 2000 to 2020 were selected to construct an ecological environment quality evaluation model with NDVI, WET, LST, NDBSI, and AI indices, and the coefficient of variation, one-way linear regression, and spatial autocorrelation analysis methods were used to analyze the spatial and temporal evolution pattern of ecological environment quality in the watershed, and to detect the driving force using the optimal parameter Geographic Detector Model(OPGD). …”
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Temporal and Spatial Evolution and Driving Force Analysis of Water Conservation Function in Yunnan Province Based on Climate and Land Use Change by LIU Fengru, ZHAO Junsan, LIN Yilin, CHEN Guoping, ZHANG Longjiang, PENG Sufen

“…The main driving factors of temporal and spatial changes in water conservation in Yunnan Province were identified by using the optimal parameter geodetector. …”
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Spatial and Temporal Evolution Assessment of Landscape Ecological Resilience Based on Adaptive Cycling in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China by Huaizhen Peng, Huachao Lou, Yifan Liu, Qingying He, Maomao Zhang, Ying Yang

“…Using the Changsha–Zhuzhou–Xiangtan urban agglomeration in China as a case study, this research constructs a “Risk-Potential-Connectivity” framework to evaluate ecological resilience. This framework applies exploratory spatial data analysis methods to examine the spatiotemporal evolution and associated patterns of resilience and the Geodetector model to measure the driving factors of spatial variation. …”
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Impact of distance measures in adaptive K-means clustering on load profiles and spatial patterns of distributed substations in Thailand by Temsiri Prompook, Sorawut Jittanon, Kandanai Phumeesut, Chakkrit Termritthikun, Nipon Ketjoy, Wisut Chamsa-ard, Noppakun Meesuk, Chakphed Madtharad, Tawat Suriwong

“…Euclidean distance was found to be more effective in clustering load profiles based on the magnitude of electricity consumption, while Cosine similarity better captured the shape and temporal patterns of usage, as supported by the proposed metrics. …”
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