Latest Spatiotemporal Data Mining Research Papers

The newest Spatiotemporal Data Mining papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Spatiotemporal Data Mining so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.

Recent papers

• From graph models to intelligent decision-making: a review of spatio-temporal graph neural networks for regional disease risk prediction and etiology mining
  Ye Chen, Xiaoqun Qin, Shouping Chen · Frontiers in Public Health · Jul 22, 2026

  Background Regional disease risk prediction is a core component of public health early warning systems. Traditional statistical models and machine learning methods have inherent limitations in handling multi-source heterogeneous data fusion…

• Integrating GIS-derived spatiotemporal features for rural tourism behavior inference using an enhanced FP-growth framework
  Yan Dai · GeoJournal · Jul 22, 2026
• A Study on the Spatio-Temporal Variations in the Impact of Provincial Energy Investment on the Green Economy, Empowered by Attention Mechanisms
  Xi Zhang · Advances in Economics Manag... · Jul 21, 2026

  Against the backdrop of global efforts to address climate change and the advancement of China's 'dual carbon' goals, the green economy has become a core direction for high-quality development, with the structure and distribution of energy i…

• Paradigm Shift in Quantitative Investment Driven by Large Language Models and Graph Spatiotemporal Networks: A Deep Empirical Study based on Market-Implied Sentiment and Neuro-Symbolic Systems
  Yi Wensheng · WSEAS TRANSACTIONS ON CIRCU... · Jul 20, 2026

  Driven by the evolution of Large Language Models (LLMs), financial forecasting is shifting from statistical arbitrage to semantic intelligence. To address the limitations of traditional paradigms in processing unstructured data and modeling…

• A Hybrid Spatiotemporal Framework with Memory and Diffusion Convolution for Traffic Flow Prediction
  Xi Chen, Jiajia Chen · Applied Artificial Intellig... · Jul 20, 2026

  Accurate traffic flow prediction is pivotal for intelligent transportation systems, yet it remains inherently challenging due to dynamic spatial correlations and long-range temporal dependencies. While existing forecasting paradigms predomi…

• Spatiotemporal Characteristics and Influencing Factors of Dust Pollution in Mining Areas: A Quantitative Approach Based on Correlation and Statistical Models
  Haibin Ge, Hongyun Zhao · Sustainability · Jul 20, 2026

  In response to ecological degradation caused by uncontrolled dust emissions from open-pit mines, this study selected the Hequ open-pit coal mine as the study area and established a monitoring system to collect data on TSP, PM10, PM2.5, and …

• Quantifying the spatiotemporal mechanical dynamics of engineered cardiac microbundles
  Hiba Kobeissi, Samuel J. DePalma, Javiera Jilberto, David Nordsletten et al. · PLoS Computational Biology · Jul 20, 2026

  Brightfield time-lapse imaging is widely used in cardiac tissue engineering, yet the absence of standardized, interpretable analytical frameworks limits reproducibility and cross-platform comparison. We present an open, scalable computation…

• Attention-based Spatio-Temporal Graph Convolutional Networks-enhanced deep reinforcement learning for adaptive traffic signal control in urban traffic networks
  Yi-Xiang Wang, Xiaopeng Wang, Mo Yang, Chao Huang et al. · Scientific Reports · Jul 19, 2026

  Urban traffic congestion remains a critical challenge due to the inflexibility of conventional fixed-time or rule-based traffic signal control systems, which cannot adapt to real-time dynamic traffic flows. Existing deep reinforcement learn…

• A REGULARIZED SPATIO-TEMPORAL MODELING FRAMEWORK FOR URBAN LAND-USE TRANSITION AND GROWTH-RATE PREDICTION ALONG THE EASTERN BYPASS CORRIDOR, NAIROBI, KENYA
  LOICE ATIENO OUMA, MARGARET K. KEDOGO, JEREMIAH AYONGA · International Journal of Bu... · Jul 18, 2026

  Rapid road-infrastructure expansion in sub-Saharan African cities is reshaping peri-urban land at a pace that conventional planning instruments struggle to anticipate. The Eastern Bypass in Nairobi, Kenya, is a paradigmatic corridor where a…

• Study on spatiotemporal evolution law of surrounding rock stress in deep high-stress soft rock roadways
  Zhenquan Zhang, Zhe Han, Zongzhi Yu, Bangyou Jiang et al. · Scientific Reports · Jul 17, 2026

  To address large deformation and support failure in deep, high-stress soft-rock roadways, this study investigates the - 810 m track main roadway of Pansan Coal Mine using fiber Bragg grating three-dimensional stress monitoring and borehole …

• Spatiotemporal patterns and influencing factors of taxi supply-demand imbalance: A case study of Urumqi, China
  S Hücümenog ̆ lu, C S, L C WANG, Xiaoyan Tang et al. · Scientific Reports · Jul 16, 2026

  As a critical component of urban public transport systems, taxi services have attracted increasing scholarly attention because their supply and demand are often spatially and temporally imbalanced. Understanding the spatiotemporal patterns …

• Monitoring the Spatio-Temporal Patterns of Forest Gaps and Health in the Rwenzori Mountains National Park, Western Uganda
  Upton Nuwagira, Bernard Barasa, Nicholas Muhesi, Sarah Namayengo et al. · East African Journal of Env... · Jul 15, 2026

  Forest gap dynamics, vegetation health and canopy density in montane ecosystems remain underexplored in East Africa despite their critical role in forest development and biodiversity conservation. In this study, we assessed spatial and temp…

• Dynamic deformation response of a large bridge to mid-to-deep coal extraction in thick loess regions
  Feng Cui, Shihu Ren, Jiazhi Zhang, Yingchun Li · Frontiers in Earth Science · Jul 15, 2026

  As coal extraction in western China advances toward deeper reserves beneath thick, unconsolidated geological formations, the dynamic impact of mining-induced subsidence on large surface infrastructure remains poorly understood. This study i…

• Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis
  Dandan Chen, Yan Zhao, Xuepeng Chen · arXiv · Jul 14, 2026

  Engineering use of AI forecasting models requires not only high nominal accuracy but also predictable behavior under uncertain inputs. In photovoltaic (PV) forecasting, this requirement is especially challenging because numerical weather pr…

• Decoding urban heat and cold cores: spatiotemporal evolution and multidimensional drivers in hyper-urbanized regions
  Feng Yue, Chunguang Hu, Shunwei Chen, Hui Zeng · Ecological Processes · Jul 14, 2026

  The rapid expansion of extreme thermal zones in hyper-urbanized regions is reshaping the urban social ecosystem, but the mechanism behind it is still not fully understood. This study examines the evolution of the thermal environment in west…

• Spatio-temporal Dynamics of Soil Salinity Spreading in Paddy Fields via NDSI Index during 2000-2025: A Case Study of Khon Sawan District, Chaiyaphum Province, Thailand
  International Journal of Ag... · Jul 14, 2026

  This research aims to classify and map the distribution of saline soil areas using Landsat satellite data.The severity of saline soil areas affecting rice-growing areas in Khon Sawan District, Chaiyaphum Province, between 2000 and 2025 was …

• Reliable Aggregated Capacity Estimation for DPV-Integrated VPP via Dynamic Spatiotemporal Forecasting and Risk-Averse Stochastic Programming
  Zhang Zhang, Guanghui Sun, Lijie Zhang, Liangdong Qin et al. · Electronics · Jul 14, 2026

  The deterministic evaluation framework for traditional virtual power plants (VPP) overlooks the capacity squeeze caused by day-ahead forecasting errors in real-time settlement, resulting in a significant overestimation of the adjustable cap…

• A spatiotemporal GIS-based multicriteria assessment of intra-urban water security under a large-scale urban mining disaster in Maceió, Alagoas State (AL), Brazil
  Andressa Ellen Apolinário, Wesley Douglas Oliveira Silva, Marcos dos Santos, Danielle Costa Morais · Environment Systems & Decis... · Jul 11, 2026

  Abstract Urban water security represents a major planning challenge in cities exposed to rapid environmental change, socioeconomic inequality, and institutional fragility, particularly in developing regions. In Maceió, Alagoas State (AL), n…

• Spatiotemporal variability of physicochemical parameters, heavy metals and associated ecological and human health risks assessment in Rapti River Basin, India
  Kolambas Verma, Anil Kumar Dwivedi, Prof. Parikshit Singh, Niteesh Kumar Pandey · Scientific Reports · Jul 10, 2026

  Rapti River (East) is a major Indo-Gangetic river in eastern Uttar Pradesh, India. Domestic sewage and industries along the river basin left the river polluted at numerous stretches. Water and sediment samples ( n = 30) were collected acros…

• CA–Markov-based spatio-temporal modeling of land use/cover change in Bozdağ Forestry Management Unit: implications for forest law and governance in Türkiye
  İlknur Cesur · Frontiers in Forests and Gl... · Jul 8, 2026

  Introduction Understanding historical and current land use/land cover (LULC) and forecasting future LULC are crucial for land classification and management. Methods This study examines changes in land cover within the Bozdağ Forestry Manage…

• Video Understanding: From Geometry and Semantics to Unified Models
  Zhaochong An, Zirui Li, Mingqiao Ye, Feng Qiao et al. · Machine Intelligence Research · Jul 8, 2026

  Abstract Video understanding aims to enable models to perceive, reason about, and interact with the dynamic visual world. In contrast to image understanding, video understanding inherently requires modeling temporal dynamics and evolving vi…

• IPGMVL: based on interactive progressive graph convolution with multi-view learning traffic flow forecasting
  Hongyan Wang, Linlong Chen · Scientific Reports · Jul 8, 2026

  The key challenge in traffic flow prediction lies in modeling complex spatio-temporal dependencies effectively. While graph neural networks have shown promise, existing methods face two critical limitations: (1) static graph construction ap…

• TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios
  Hong Lyu, Mingru Yang, Qianhua He, Yanxiong Li et al. · arXiv · Jul 7, 2026

  There are some datasets of varying scales for audio classification (AC) applied to different tasks. However, annotated data is limited for most scenarios, such as domestic environments. To address this challenge, we propose an $\textbf{A}$u…

• AI‐Assisted Literature Mining Reveals Spatiotemporal Heterogeneity and Progression Trajectories of Traditional Chinese Medicine Syndromes in Coronary Heart Disease in China
  Qianzi Che, Tian Song, Zhaoyuan Gong, Chuxuan Wang et al. · Journal of Evidence-Based M... · Jul 7, 2026

  Despite the centrality of syndrome differentiation in guiding personalized traditional Chinese medicine (TCM) interventions for coronary heart disease (CHD), existing studies of TCM syndrome distribution are constrained by fragmented method…

• Detecting CycleGAN-Spoofed AIS data using a GAN fingerprinting method with LSTM-Based classification
  S. M. Ashfaq Uz Zaman, Faizan Qamar, Masnizah Mohd, Nur Hanis Sabrina Suhaimi et al. · Frontiers in Future Transpo... · Jul 6, 2026

  The identification of spoofed AIS data is crucial for ensuring secure and dependable maritime navigation, vessel tracking, and surveillance systems. Recent advances in generative modeling, particularly CycleGANs, have made identifying falsi…

• Bottleneck Prediction in Process Mining: An Extended Review Including Telecom, Energy, and IIoT Sectors
  Ricardo Bassoi · Zenodo (CERN European Organ... · Jul 6, 2026

  Bottleneck prediction is a critical dimension of process optimization, enabling organizations to anticipate operational inefficiencies before they escalate into significant disruptions. This paper extends the established body of knowledge i…

• Modelling Broken Windows: A Multisource Spatiotemporal Graph Framework for Fly–tipping Prediction and Environmental Justice Analysis
  Yukun Cui, Cai Lei, Afraz Moqueem Mohammed, Hansi Hettiarachchi · Journal of Geovisualization... · Jul 4, 2026

  Abstract Illegal dumping, commonly referred to as fly-tipping in the UK, is a pressing urban management challenge that compromises both municipal budgets and environmental equity. Traditional solutions are largely reactive and unable to ide…

• Spatiotemporal dynamics of water–carbon synergy and its driving mechanisms in the Kuye River Basin on the Loess Plateau of China
  Yibo Ma, Linjing Qiu, D M Zhao, Yinghui Chang et al. · Environmental Earth Sciences · Jul 3, 2026

  Understanding the coupling between water and carbon processes is critical for ecosystem sustainability in water-limited regions, yet the underlying mechanisms remain insufficiently quantified under concurrent climate and land use change. Th…

• From sympathetic storm to systemic inflammation: spatiotemporal dynamics of the brain-lung axis in neurogenic pulmonary edema
  Mingxin Zhang, P Zhang · Frontiers in Neuroscience · Jul 3, 2026

  Neurogenic pulmonary edema (NPE) is a life-threatening complication of acute central nervous system (CNS) injury, characterized by the rapid onset of hypoxemia and pulmonary fluid accumulation in the absence of underlying cardiopulmonary di…

• Lightweight Graph Embedding Augmentation for Airport Traffic Forecasting
  Ahmed Alharbi · Electronics · Jul 3, 2026

  Short-term airport traffic forecasting faces a structural gap: temporal ensemble models ignore route-network dependencies that shape hub operations, while deep graph neural networks require synchronised multi-airport operational data stream…