Evaluating Real-Time and Scheduled Public Transport Data: Challenges and Opportunities by Liam Webb, Gary Higgs, Mitchel Langford, Robert Berry

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Long-term variability of extreme precipitation with WRF model at a complex terrain River Basin by Yinchi Zhang, Chao Deng, Wanling Xu, Yao Zhuang, Lizhi Jiang, Caiying Jiang, Xiaojun Guan, Jianhui Wei, Miaomiao Ma, Ying Chen, Jian Peng, Lu Gao

“…Abstract Global warming has profound effects on precipitation patterns, leading to more frequent and extreme precipitation events over the world. …”
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Evaluation of multi-source precipitation products for monitoring drought across China by Yongyi Yuan, Boyi Liao

“…Spatial and temporal analyses revealed that IMERG Final closely aligns with observed precipitation, particularly in the high-rainfall areas like the Yangtze River Basin, while GSMaP MVK and ERA5 tend to overestimate precipitation in arid and semi-arid regions. …”
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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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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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Spatiotemporal Characteristics of Soil Conservation and Protection Vacancies at Ganzhou City of Jiangxi Province by Zhou Junxin, Cai Meifang, Guo Fusheng, Huang Zhiqiang, Zhai Jiancheng

“…[Conclusion] Climate factors, land use changes, and topographic and geomorphic conditions were important factors affecting the spatial and temporal differentiation of soil and water conservation functions in Ganzhou City. …”
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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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Causality among landscape characteristics, seasonality and stream water quality in the Paraopeba river basin by Fernando Arão Bila Júnior, Fernando António Leal Pacheco, Renato Farias do Valle Junior, Maytê Maria Abreu Pires de Melo Silva, Teresa Cristina Tarlé Pissarra, Marília Carvalho de Melo, Carlos Alberto Valera, Luís Filipe Sanches Fernandes, João Paulo Moura

“…The dataset includes spatial data on land use and land cover, digital elevation models, soil types, geology, geomorphology, spatial-temporal data, and landscape fragmentation metrics. …”
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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

“…The proposed methodology is evaluated on popular video datasets, showcasing its effectiveness in capturing intricate patterns and contexts. …”
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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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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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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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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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Coordinated Development and Spatiotemporal Evolution Trends of China’s Agricultural Trade and Production from the Perspective of Food Security by Yueyuan Yang, Chunjie Qi, Yumeng Gu, Cheng Gui

“…On this basis, a coupling coordination degree model and Moran’s I indices are used to analyze the coordinated development level’s temporal changes and spatial effects. The research finds that the development levels of China’s agricultural trade and production show an upward trend but currently still exhibit the pattern of higher levels in Eastern China and lower levels in Western China. …”
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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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