Latest Spatiotemporal Data Mining Research Papers
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- Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for PortuguesePedro Carvalho Brom · arXiv · Oct 29, 2026
Building a language model of one's own no longer requires a data centre. This tutorial trains one from scratch, tokenizer included, on one consumer GPU, and shows how to tell whether it is good for the tasks of a specialist domain. It propo…
- Continuous-Action World Models: Learning Cross-Embodiment Spatiotemporal Dynamics PriorsLiangyu Li, Qingwen Liu · arXiv · Oct 29, 2026
We introduce Continuous-Action World Models (CoAWM), a framework for learning cross-embodiment spatiotemporal dynamics priors that support robot action generation across embodiments and execution frequencies. At its core is a shared latent …
- Spatio-temporal Analysis of Land Use and Land Cover Change in the Achanakmaar-Amarkantak Biosphere Reserve, Central India: Implications for Forest Degradation and Conservation PlanningJiwan Lal, Lalji Singh, Tarun Kumar Thakur, R. K. Chaturvedi et al. · Journal of Geomatics · Oct 28, 2026
Land Use and Land Cover (LULC) Change plays a crucial role in influencing ecological stability, biodiversity, and climate dynamics. This study investigates the spatio-temporal dynamics of LULC in the Achanakmaar-Amarkantak Biosphere Reserve…
- Spatio-temporal dynamics and driving factors of the Production–Ecological–Living Spaces in the Funiu Mountain Area from 2000 to 2020Ming Zhu, GaoHan Xu, Chenxin Shang, jingjing zhang et al. · Frontiers in Ecology and Ev... · Oct 28, 2026
Introduction Scientific understanding of the spatio-temporal evolution of Production-Ecological-Living Spaces (PELS) and their driving factors provides theoretical support and practical guidance for territorial spatial planning. This study …
- Impact of Resource Dependence and Industrial Structure Transformation on Haze Pollution—Evidence from 284 Prefecture-Level Cities in ChinaX. F. Lin, Mi Ying, Zhang Qingxiang · Journal of Resources and Ec... · Oct 27, 2026
Based on panel data from 2003 to 2018, this study analyzes the spatiotemporal characteristics of haze pollution, resource dependence, and industrial structure transformation in 284 Chinese cities, and explores the relationship between resou…
- Spatiotemporal Evolution and Factors Influencing High-Quality Energy Development at the Provincial Level in ChinaWang Yijie, Gui Chengyu, Li Tongfang, Wang Yifan et al. · Journal of Resources and Ec... · Oct 27, 2026
Promoting high-quality energy development is of great significance for achieving China's “dual carbon” goals and ensuring high-quality economic development. Therefore, this paper places high-quality energy development within the context of …
- Smart city traffic flow and congestion prediction model based on spatio-temporal graph neural networkDong Hong · Computational Urban Science · Oct 26, 2026
With the rapid expansion of urban vehicle scale, traffic flow and congestion prediction have become increasingly important. To address the issue of inaccurate prediction of traffic flow and congestion, a graph convolutional network is propo…
- Operating performance assessment for complex industrial processes based on multi-block sparse spatiotemporal graph transformerRuicong Zhang, Fei Chu, Shuyan Xu, Fuli Wang · Tsinghua Science & Technology · Oct 23, 2026
Abstract Energy and material transfer and physicochemical reactions in complex industrial processes exhibit spatiotemporal propagation characteristics, and spatiotemporal relationships among variables can reveal operating patterns and impro…
- Risk assessment of insulator contamination in thermal power plants by integrating dynamic physical priors and spatiotemporal heterogeneous graphsZhipeng Qi, Zexi Hua, Zhongji Su, Weichen Li et al. · Scientific Reports · Oct 22, 2026
To address the problem of predicting insulator fouling risks at thermal power plants resulting from the combined effects of various source-side facilities and meteorological conditions, we propose the Causal-STHGN model. This spatiotemporal…
- Brain-inspired predictive visual attention for spatiotemporal semantic understanding of complex film and television videosPeng Han · Frontiers in Neurorobotics · Oct 22, 2026
Due to the unique characteristics of film and television, such as montage editing and narrative structure jumps, semantically salient targets frequently experience temporal feature drift, making it difficult for existing models to maintain …
- Monitoring seasonal and long-term forest canopy dynamics using Sentinel-2 imagery and Random Forest on the Google Earth Engine platformPavan Kumar, Rahul Kumar, Soumyajeet Sahu, Manmohan Jagatram Dobriyal et al. · PLoS ONE · Oct 21, 2026
Understanding forest canopy dynamics is critical for assessing the condition, resilience, and conservation priorities of protected landscapes. This study evaluated the spatiotemporal and seasonal variation in mapped forest canopy density wi…
- Bayesian spatio-temporal modeling of childhood anemia in Tanzania: spatial distribution, determinants, and causal impact of malariaLembris Laanyuni Njotto, Wilfred F. Senyoni, Angelina Mageni Lutambi · Frontiers in Public Health · Oct 21, 2026
Introduction Childhood anemia remains a major public health challenge in low- and middle income countries, impairing growth, cognition, and child survival. In Tanzania, the burden remains persistently high, yet its spatial patterns, tempora…
- Evaluation and Planning Method for Renewable Energy Carrying Capacity of Novel Power Systems Based on Deep Spatiotemporal Feature Learning and Inter-Provincial Mutual Assistance SynergySudan Lai, Guilian Wu, Shiyuan Ni, Lu Tang et al. · EAI Endorsed Transactions o... · Oct 20, 2026
INTRODUCTION: With the in-depth advancement of novel power system construction, the randomness and volatility brought by high-proportion renewable energy grid connections pose severe challenges to long-term planning. Traditional methods str…
- Spatiotemporal evolution and driving factors of green transformation in resource-based cities of Western ChinaZiru Teng, Hanyu Zhang, Xiaonan Cao · Scientific Reports · Oct 20, 2026
Western China’s resource-based cities (WRBCs) have characteristics of “resource dependence” and “development lag,” and all resource-based cities will face difficulty accomplishing green transformation (GT). This paper uses 39 samples of WRB…
- Unsupervised Mining of Regional Warming Patterns from ERA5 Spatio-Temporal Data: K-means Clustering of 34 Major Chinese Cities, 1975–2024Yuxin Tao · Applied and Computational E... · Oct 20, 2026
This paper treats regional warming in China as an unsupervised pattern-mining task on ERA5 spatio-temporal data for thirty-four provincial-level cities. First, about 1.8 million hourly values of six ERA5 variables for 2020 are reduced to fi…
- Kronecker Delta Rule for Long Context Linear AttentionAnamaria-Roberta Hartl, Levente Zólyomi, Michael List, Günter Klambauer et al. · arXiv · Oct 19, 2026
We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix memories. KronLSTM extends the xLSTM family with a memory-revision mechanism that corrects targeted associati…
- Spatio-temporal connected graph convolutional network for SCADA-data-based wind turbine fault diagnosis under time-varying operating conditionsYang Fu, Yiming Wu, Deqiang He, Zhenzhen Jin et al. · Journal of Vibration and Co... · Oct 19, 2026
Wind turbine fault diagnosis based on Supervisory Control and Data Acquisition (SCADA) data is challenging due to continuously varying operating conditions. Existing approaches are often limited in representing sensor interactions across mu…
- Structure-prior relation graph learning for spatio-temporal anomaly detection in multi-entity collaborative systemsXuefang Lai, Weijie Peng, Yingxuan Ren, Yuhong Zhang et al. · Journal of Vibration and Co... · Oct 18, 2026
Spatio-temporal anomaly detection in multi-entity collaborative systems aims to identify abnormal states from multivariate time series generated by dynamically coupled variables. Fully data-driven relation learning may recover unstable or s…
- Geopolitical Risk Prediction and Robust Investment Decision-Making for Transnational Photovoltaic Projects in Africa via Generative AI and Spatiotemporal GNNJiayu Sun, Guan Yang, Zhenguo Cao, Wei Zhao · Archives des sciences a mul... · Oct 18, 2026
Geopolitical risks associated with transnational photovoltaic (PV) projects in Africa are dynamic, interconnected, and difficult to assess using conventional investment models. Specifically, existing approaches often struggle to characteriz…
- Revelation of the Mode‐Resolved Dynamics of 3D Breathers in a Spatiotemporal Mode‐Locked Fiber LaserJia‐Wen Wu, Wei Shin Lin, Wei Li, Jiahao Chen et al. · Laser & Photonics Review · Oct 17, 2026
ABSTRACT 3D solitons in spatiotemporal mode‐locked (STML) fiber lasers provide a unique platform for exploring high‐dimensional nonlinear physics and complex mode interactions. As a special type of 3D solitons, 3D breathers possess abundant…
- Spatio-Temporal Analysis of Shoreline Change Along the Machilipatnam Coast Using Landsat Imagery and QGISM.L. Sirisha, Subhashish Dey, Seelam Srikanth, G.T.N. Veerendra · Journal of Urban Intelligen... · Oct 17, 2026
Shoreline analysis is an important aspect of coastal studies, as coastlines are continuously influenced by natural processes such as waves, tides, currents, and human activities. Monitoring these changes is essential for effective coastal m…
- Spatial structure and heterogeneous drivers of city-level CO2 emission in China: Insights from geographically weighted spatiotemporal decomposition methodYue Wang, Huijie Wen, Peipei Qiu, Xuesong Wang et al. · Environment Development and... · Oct 17, 2026
Anthropogenic carbon dioxide (CO 2 ) emissions in China have risen persistently, making effective mitigation policies critical for achieving carbon peak and neutrality. Such policies must be regionally tailored, given the large disparities …
- Historical dynamics of social adaptation strategies under natural hazard characteristics in the Hengduan Mountains, Southwest ChinaXueyuan Huang, Yiping Fang, Xinjun He, Liang Emlyn Yang · Humanities and Social Scien... · Oct 17, 2026
The nexus between natural hazard events and regional societal responses constitutes a critical link in the chain of climate change impacts on human social systems. China’s extensive historical documentary resources remain underutilized for …
- Spatiotemporal evolution and driving factors of ecological risks in the Wujiang River Basin over the past four decadesWei Li, Xiao Jiang, Liang Huang, Sisi Lv et al. · Scientific Reports · Oct 16, 2026
Elucidating the spatiotemporal changes in ecological risk is theoretically and practically significant for advancing regional ecological civilisation development and achieving watershed ecological security. A landscape ecological risk (LER)…
- Data-driven discrete geofence design using binary quadratic programmingKeisuke Otaki, A. Okada, Tadayoshi MATSUMORI, Hiroaki Yoshida · Scientific Reports · Oct 15, 2026
Abstract Geofences have attracted significant attention in the design of spatial and virtual regions for managing and triggering spatiotemporal events; for example, content providers can trigger spatiotemporal events through mobile devices.…
- Asymptotic mixed graph convolutional with trend-aware self-attention networks for traffic flow forecastingHongyan Wang · Scientific Reports · Oct 15, 2026
Accurate traffic flow forecasting plays a critical role in enhancing the efficiency and safety of transportation systems. Nevertheless, this task remains challenging due to the complex spatio-temporal correlations embedded in traffic data. …
- NeuroDETR: Multiscale Discrete Spatiotemporal Tokenization for Asynchronous EEG Event DetectionYaozhi Wen, Kun Zhao, Wei Wei, Haoyang Chen et al. · arXiv · Oct 14, 2026
Asynchronous EEG event detection supports practical brain-computer interfaces by identifying event classes and temporal boundaries directly from continuous recordings without predefined event boundaries at inference time. The primary challe…
- Serial Cross‐Sectional Mapping of Bone Marrow Microenvironment Remodelling During Fracture Repair Using Multiparametric MRI and HistopathologyRui Zhou, Guochen Li, Yinglin Zhou, Caihong Yao et al. · Anatomia Histologia Embryol... · Oct 14, 2026
Restoring bone marrow microenvironment (BMM) homeostasis is critical for fracture healing, yet non-invasively tracking physiological events like apoptosis, angiogenesis and matrix remodelling remains challenging. This study evaluated multip…
- Analysis of the spatiotemporal evolution, convergence trends, and influencing factors of ecological efficiency in Chinese citiesTonghui Li, Wei Gao, Qiang Li, Xiangjin Li · Frontiers in Environmental ... · Oct 14, 2026
Understanding the spatiotemporal evolution, convergence trends, and influencing factors of ecological efficiency in Chinese cities is crucial for achieving coordinated development between socioeconomic progress and the ecological environmen…
- Designing dynamic pricing for bike-sharing systems via differentiable agent-based simulationTatsuya Mitomi, Fumiyasu Makinoshima, Fumiya Makihara, Eigo Segawa · Scientific Reports · Oct 14, 2026
Abstract Bike-sharing systems are emerging in various cities as new eco-friendly transportation systems. In these systems, spatiotemporally varying user trip demand leads to imbalances in inventory at bicycle stations, resulting in addition…