The Spatiotemporal Impact of Socio-Economic Factors on Carbon Sink Value: A Geographically and Temporally Weighted Regression Analysis at the County Level from 2000 to 2020 in Chin... by Tao Wang, Qi Liang

“…This study emphasizes the necessity of incorporating spatial and temporal dynamics into carbon sink valuation. …”
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The spatiotemporal distribution patterns and impact factors of bird species richness: A case study of urban built-up areas in Beijing, China by Zheran Zhai, Siyao Liu, Zimeng Li, Ruijie Ma, Xiaoyu Ge, Haidong Feng, Yang Shi, Chen Gu

“…This study aims to investigate the distribution patterns of bird species in urban built-up areas and their impact factors from multiple dimensions, including spatiotemporal distribution, environmental changes, and anthropogenic disturbances, as well as overall distribution and local hotspots. …”
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An Evaluation of the Capability of Global Meteorological Datasets to Capture Drought Events in Xinjiang by Yang Xu, Zijiang Yang, Liang Zhang, Juncheng Zhang

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Revealing the Spatiotemporal Changes in Land Use and Landscape Patterns and Their Effects on Ecosystem Services: A Case Study in the Western Sichuan Urban Agglomeration, China by Jing Wang, Peihao Peng, Tao Liu, Juan Wang, Shiqi Zhang, Pengtao Niu

“…Its aim is to identify the spatial and temporal characteristics of land use and landscape pattern evolution. …”
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Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia by Aditya Eaturu, Krishna Prasad Vadrevu

“…The CNN-LSTM hybrid model also performed well in Cambodia, suggesting a need for a balanced approach in areas requiring both spatial and temporal feature extraction. Furthermore, simpler models, such as Simple Persistence and MLP, showed limitations in capturing dynamic patterns and temporal dependencies. …”
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Masked Convolutions Within Skip Connections for Video Anomaly Detection by Demetris Lappas, Vasileios Argyriou, Dimitrios Makris

“…This innovative mechanism enhances the preservation of spatial and temporal details, addressing the challenge of effectively detecting anomalies in video data. …”
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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

“…Pre-processing and extracting muscle synergy patterns is performed by the Hierarchical Fast Alternating Least Squares (Fast-HALS) algorithm, and key movement points are identified with the Modified MediaPipe algorithm to capture temporal and spatial dynamics with precision using TraxVBF, which is driven by Extended Long Short-Term Memory (xLSTM) and Transformer architectures. …”
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Performance Evaluation of CLM5 in Simulating Evapotranspiration over Pearl River Basin by WANG Dayang

“…To investigate the simulation performance of the Community Land Model version 5 (CLM5) in simulating terrestrial evapotranspiration,this paper simulated the surface processes in the Pearl River Basin (PRB) from 1989 to 2018 with CLM5.For validation,the remote sensing-based GLEAM ET products were used as reference for the evaluation of the model's simulation performance.The evaluation was based on temporal variability analysis and spatial pattern analysis.The results show that CLM5 underestimates the evapotranspiration in the PRB to varying degrees,with the relative error of average annual evapotranspiration being -16.07% in the basin.The underestimation is mainly attributed to the underestimation of low evapotranspiration in the cold season. …”
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Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP by Jianhong Jiang, Yongjin Yu, Yang Zhou, Shimeng Qian, Hao Deng, Jianning Tao, Wei Hua

“…Furthermore, more than half of the HR GCMs had a reduced bias relative to the corresponding LR GCMs, indicating the good performance of most HR models in simulating wind energy resources over the TP in terms of spatial pattern and temporal variability. However, the overall performance of HR GCMs varied among models, which suggests that solely improving the horizontal resolution is not sufficient to completely solve the uncertainties and deficiencies in the simulation of wind energy over complex terrain.…”
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Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model by Li Xiaoyong, Jia Haifa, Zhao Wanmei

“…[Objective] The ecological carrying capacity of Qinghai Province and its cities and prefectures were quantitatively measured to reveal its spatial and temporal evolution characteristics, in order to provide a reference for the sustainable development of Qinghai Province. …”
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Space-Shaping Through Rhythmic Interventions for Teaching and Learning: Pedagogical Perspectives by Robin A. Chang, Pinar Sefkatli

“…Our cases wrangle with the relationships between socio-spatial and temporal scales that steer or constrain rhythmic patterns expressed in students’ analyses and design interventions. …”
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Machine learning in stream and river water temperature modeling: a review and metrics for evaluation by C. R. Corona, T. S. Hogue, T. S. Hogue

“…The aim of this work is threefold: first, to provide a concise review of the use of ML algorithms in SWT modeling and prediction; second, to review ML performance evaluation metrics as they pertain to SWT modeling and prediction to find the commonly used metrics and suggest guidelines for easier comparison of ML performance across SWT studies; and, third, to examine how ML use in SWT modeling has enhanced our understanding of spatial and temporal patterns of SWT and examine where progress is still needed.…”
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Long time-series and high-frequency ecological evaluation of Henan section of the Yellow River by Jianzhong Guo, Daozhu Xu, Jian Xu, Ruoxin Zhu, Ning Li

“…This study proposed a new Spatial-Temporal Comprehensive Evaluation of Eco-environment Quality Index (SCEQI) model. …”
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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…In response to these limitations, we propose a novel deep learning framework that effectively captures both temporal and spatial characteristics of group interactions. …”
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A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks by Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Perez-Cruz, Martin Raubal

“…The results demonstrate the effectiveness in producing location sequences with distinct mobility behaviors, thereby facilitating the simulation of diverse yet realistic spatial and temporal changes. These changes result in performance fluctuations in next location prediction networks, revealing impacts of critical mobility behavior factors, including sequential patterns in location transitions, proclivity for exploring new locations, and preferences in location choices at population and individual levels. …”
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AP-GRIP evaluation framework for data-driven train delay prediction models: systematic literature review by Tiong Kah Yong, Zhenliang Ma, Carl-William Palmqvist

“…To bridge this gap, the study conducted a systematic literature review on data-driven train delay prediction models and introduced the novel AP-GRIP (Accuracy, Precision, Generalisability, Robustness, Interpretability, Practicality) evaluation framework. The framework covers six key aspects across overall, spatial, temporal, and train-specific dimensions, providing a systematic approach for the comprehensive assessment of train delay prediction models. …”
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Climatological Evaluation of Three Assimilation and Reanalysis Datasets on Soil Moisture over the Tibetan Plateau by Yinghan Sang, Hong-Li Ren, Mei Li

“…MDA describes the TPSM anomalies more stably and accurately in terms of temporal trend and variation (r = 0.94), as well as the dipole spatial pattern in EOF1. …”
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Site selection evaluation of transmission lines in desert areas based on wind-sand physics by Moxian Dai, Moxian Dai, Yanbing Wang, Shu Zhu, Hongchao Dun, Hongchao Dun

“…The study findings reveal that global desert sand movement exhibits distinct spatial distribution patterns. Temporally, all monitored regions demonstrate a continuous intensification of sand drift potential, with South America showing the most rapid growth rate, while Asia and Africa maintain relatively stable patterns. …”
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Coexistence of jaguars (Panthera onca) and pumas (Puma concolor) in a tropical forest in south-eastern Mexico by D. M. Ávila–Nájera, C. Chávez, S. Pérez–Elizalde, J. Palacios–Pérez, B. Tigar

“…The goal of this study in the El Eden Ecological Reserve (EER) was to investigate the factors that permit these two predators to coexist in the dense vegetation of medium–stature tropical forest and secondary forest in the north–eastern Yucatan Peninsula. We assessed their spatial and temporal overlap using Pianka’s index, and evaluated their habitat use by applying occupancy models. …”
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DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms by Hui Huang, Fenglin Zhou, Jianhua Jia, Huachun Zhang

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