Significance in Numerical Simulation and Optimization Method Based on Multi-Indicator Sensitivity Analysis for Low Impact Development Practice Strategy by Qian Zhang, Mucheng Zhang, Wanjun Jiang, Yizhi Sheng, Yingwei Yuan, Meng Zhang

“…The applicability of the 3D modules was evaluated using the Chicago rain pattern formula under three recurrence periods: precipitation within one, five, and ten years. …”
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Neuropathological stages of neuronal, astrocytic and oligodendrocytic alpha-synuclein pathology in Parkinson’s disease by Maria Otero-Jimenez, Marcelina J. Wojewska, Lawrence P. Binding, Simona Jogaudaite, Sandra Gray-Rodriguez, Alexandra L. Young, Steve Gentleman, Javier Alegre-Abarrategui

“…Based on these findings, we introduce a novel multimodal progression framework that integrates, for the first time, the temporal and spatial progression of astrocytic and oligodendrocytic α-syn pathology alongside neuronal pathology in PD, providing further information regarding the role of neurons and glia in disease pathogenesis.…”
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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

“…Our framework incorporates dimension alignment strategies and attention mechanisms to capture temporal–spatial complementarity between acoustic feeding signals and visual behavioral patterns. …”
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Action unit based micro-expression recognition framework for driver emotional state detection by Parul Malik, Jaiteg Singh, Farman Ali, Sukhjit Singh Sehra, Daehan Kwak

“…The proposed method combines a Residual Network (ResNet18) for spatial feature extraction with a Bidirectional Long Short-Term Memory (Bi-LSTM) network for temporal pattern learning. …”
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Severity of inversion effects of atmospheric precipitation in the kazakh part of altai and methods of their assessment by Egorina A.V., Beysembayeva R.S., Chursin A.S., Kabdrakhmanova N.K., Kaisarova A.S.

“…In the article, the spatial-temporal structure of atmospheric precipitation considered as a complex multifactorial phenomenon, where vertical and horizontal components characterize its magnitude and dynamics. …”
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Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan by Liping Wang, Haonan Chen, Zhe Li

“…To recognize the error patterns of the mainstream SPPs over Taiwan, this study evaluates the temporal and spatial performance of NOAA Climate Prediction Center (CPC) morphing technique (CMORPH V1) and NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG V07 Final) during 2019–2021, with an emphasis on exploring the multi-scale performance of CMORPH and IMERG and their dependence on precipitation intensity and season. …”
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Prediction of land cover changes in an Urban City of Bangladesh using artificial neural network-based cellular automata by Tania Yeasmin, Sourav Karmaker, Md Shafiqul Islam, Irteja Hasan, Saifur Rahman, Mahmudul Hasan

“…This study was conducted to evaluate temporal and spatial changes in Land Use and Land Cover (LULC) for the years 1980, 2000, and 2020 and predict future LULC changes. …”
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A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) by M. Plante, J.-F. Lemieux, L. B. Tremblay, A. Bouchat, D. Ringeisen, D. Ringeisen, P. Blain, S. Howell, M. Brady, A. S. Komarov, B. Duval, L. Yakuden, F. Labelle

“…The heterogeneity and localization of these sea ice deformations are important characteristics of the sea ice cover that can be used to evaluate the performance of dynamical sea ice models against observations across multiple spatial and temporal scales. …”
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Decreasing soil erosion in South China with uncertainties driven by NDVI estimates by Xinqing Lu, Yulian Liang, Tongtiegang Zhao, Xudong Zhu, Zhangcai Qin

“…However, significant discrepancies persist among existing estimates of soil erosion, calling for further evaluation of long-term trends in its magnitude and spatial–temporal dynamics. …”
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Spatiotemporal Dynamics and Simulation of Landscape Ecological Risk and Ecological Zoning Under the Construction of Free Trade Pilot Zones: A Case Study of Hainan Island, China by Yixi Ma, Mingjiang Mao, Zhuohong Xie, Shijie Mao, Yongshi Wang, Yuxin Chen, Jinming Xu, Tiedong Liu, Wenfeng Gong, Lingbing Wu

“…From 2015 to 2023, the spatial distribution of LER in the study area exhibited a pattern of high-risk peripheries (central mountainous areas) and low-risk central regions (coastal areas). …”
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AI-Driven Drought Monitoring: Advanced Machine Learning Techniques for Early Prediction by Vij Priya, Tiwari Ankita

“…The study employs Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to capture complex spatial and temporal patterns, enabling more accurate and timely drought forecasting compared to traditional approaches. …”
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Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets by D. Dalmonech, E. Vangi, M. Chiesi, G. Chirici, L. Fibbi, F. Giannetti, G. Marano, C. Massari, A. Nolè, J. Xiao, A. Collalti

“…Process-based Forest Models (PBFMs) offer the possibility to capture important spatial and temporal patterns of carbon fluxes and stocks in forests. …”
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High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Gha... by Michael Brauer, Majid Ezzati, Sierra N Clark, Abosede S Alli, Jill Baumgartner, Mireille B Toledano, Allison F Hughes, James Nimo, Josephine Bedford Moses, Solomon Terkpertey, Jose Vallarino, Samuel Agyei-Mensah, Ernest Agyemang, Ricky Nathvani, Emily Muller, James Bennett, Jiayuan Wang, Andrew Beddows, Frank Kelly, Benjamin Barratt, Sean Beevers, Raphael E Arku

“…Introduction Air and noise pollution are emerging environmental health hazards in African cities, with potentially complex spatial and temporal patterns. Limited local data are a barrier to the formulation and evaluation of policies to reduce air and noise pollution.Methods and analysis We designed a year-long measurement campaign to characterise air and noise pollution and their sources at high-resolution within the Greater Accra Metropolitan Area (GAMA), Ghana. …”
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How to solve small sample size problems in time-series soil organic carbon mapping: New insights from the Third Law of Geography by Jingzhe Wang, Zipeng Zhang, Yankun Wang, Cheng-Zhi Qin, Xiangyue Chen, Yinghui Zhang, Zhongwen Hu

“…Accurate and up-to-date mapping of soil organic carbon density (SOCD) spatial distribution and temporal dynamics is essential for understanding terrestrial ecosystem carbon fluxes and monitoring global climate change. …”
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Analysis of meteorological drought using satellite-based rainfall products over southern Ethiopia by T. M. Weldegerima, T. B. Gebresilassie, T. B. Gebresilassie

“…The main objective of this study is to analyze spatial and temporal drought characteristics using high-resolution satellite-based rainfall products for the 1991–2022 period in the Southern Nations, Nationalities, and Peoples (SNNP) region of Ethiopia. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…Subsequently, computational analysis and visualization methods for revealing the interaction behaviors of different groups are explored, which involves a pedestrian identification threshold model based on human proportion characteristics that enables targeted identification and differentiation of children from adults, and a dedicated analysis module designed to visualize behavioral patterns of each identified crowd and thereby provide visual patterns for the spatial-temporal distributions of different crowds. …”
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Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China by Yi Xiao, Xi Rao, Ming Chang, Liang Chen, Huan Huang

“…Furthermore, this study employs the Standard Deviational Ellipse (SDE) model to explore their spatial–temporal evolution patterns and identify key constraints to resilience enhancement through an obstacle degree model. …”
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A spatiotemporal graph wavelet neural network for traffic flow prediction by Linjie Zhang, Jianfeng Ma

“…Furthermore, we dig the location and time patterns to evaluate the temporal dependence and the spatial proximity correlation. …”
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Analysing Time Series of Land Subsidence in the West of Tehran Province (Shahriar Plain) and its Relation to Groundwater Discharge by InSAR Technique by Ramin Papi, ُSara Attarchi, Masoud Soleimani

“…The results of the time series analysis of land displacement signals to extract the spatial-temporal pattern of the region's subsidence, despite minor differences, are very similar to the results of other studies in the same region. …”
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Episodic Gregariousness Leads to Level‐Dependent Core Habitats: A Case Study in Eastern Copperheads (Agkistrodon contortrix) by Tyler C. Christensen, Robert Kwait, Michael Van Clef, Brooke Maslo

“…Wildlife–habitat selection is influenced by multiple life‐history requirements, which act over varying spatial and temporal scales, and result in dispersion patterns that can differ across ecological levels. …”
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