Spatiotemporal Forecasting

Ask about this topic

Overview

Spatiotemporal forecasting studies how patterns evolve across both space and time, supporting decisions such as routing traffic, preparing for floods, and tracking disease outbreaks. Common approaches include graph neural networks for connected locations, convolutional and Transformer models for gridded fields, and state-space or neural-operator methods for long sequences and physical dynamics. Researchers also use physics-informed constraints, multimodal data, and probabilistic or generative models to represent mechanisms and forecast uncertainty. A central challenge is making forecasts stable and calibrated over long horizons while generalizing to sparse observations, new regions, and changing conditions; realistic benchmarks often reveal weaknesses hidden by standard test splits.

Latest papers

CardsList

429 papers59 papers in the last four weeks, up 48% on the four weeks before. 0.3% of all new papers.

  1. Predictive Hotspot Mapping for Data-driven Crime Prediction

    Feb 27, 2026Karthik Sriram, Ankur Sinha, Suvashis ChoudharySpatiotemporal Forecasting

    Operations and Decision Sciences, Indian Institute of Management Ahmedabad, 380015, Gujarat, India · Indian Police Service (Retired), India

  2. AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts

    Feb 25, 2026Zijian Zhu, Qiusheng Huang, Anboyu Guo +2Weather ForecastingSpatiotemporal Forecasting

    Artificial Intelligence Innovation and Incubation Institute, Fudan University · Shanghai Academy of Artificial Intelligence for Science · Shanghai Innovation Institute +2

  3. Learning global river system hydrodynamics with a topology-informed foundation model

    Feb 25, 2026Hancheng Ren, Gang Zhao, Shuo Wang +12HydrologyStreamflow Forecasting

    College of Water Sciences, Beijing Normal University, Beijing, China. · School of Geography and the Environment, University of Oxford, Oxford, UK. · Department of Transdisciplinary Science and Engineering, Institute of Science Tokyo, Tokyo, Japan. +6

  4. Learning from Yesterday's Error: An Efficient Online Learning Method for Traffic Demand Prediction

    Feb 25, 2026Xiannan Huang, Quan Yuan, Chao YangTraffic ForecastingTime Series Forecasting

    Key Laboratory of Road and Traffic Engineering, Ministry of Education at Tongji University, 4800 Cao’an Road, Shanghai, 201804, Shanghai, China · Urban Mobility Institute, Tongji University, 1239 Siping Road, Shanghai, 200092, Shanghai, China

  5. Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping

    Feb 25, 2026Junmyeong Lee, Hoseung Choi, Minsu ChoSpatiotemporal Forecasting3D Gaussian Splatting

    Pohang University of Science and Technology (POSTECH) · RLWRLD

  6. Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting

    Feb 25, 2026Sijie Ruan, Jinyu Li, Jia Wei +7Epidemic ForecastingSpatiotemporal Forecasting

    Beijing Institute of Technology, China · Beijing Institute of Technology, Beijing, China · Zhejiang Center for Disease Control and Prevention, China +6

  7. On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning

    Feb 24, 2026Andreas Tritsarolis, Gil Sampaio, Nikos Pelekis +1Electricity Load ForecastingFederated Learning

    Department of Informatics, University of Piraeus, Piraeus, Greece · Center for Power and Energy Systems, INESC TEC, Porto, Portugal · Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece

  8. Bikelution: Federated Gradient-Boosting for Scalable Shared Micro-Mobility Demand Forecasting

    Feb 24, 2026Antonios Tziorvas, Andreas Tritsarolis, Yannis TheodoridisSpatiotemporal ForecastingFederated Learning

    Department of Informatics, University of Piraeus, Piraeus, Greece

  9. PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning

    Feb 24, 2026Xinyong Cai, Changbin Sun, Yong Wang +2Spatiotemporal ForecastingVideo Prediction

    College of Computer Science, Sichuan University · Department of Data and Systems Engineering, The University of Hong Kong

  10. Fully Convolutional Spatiotemporal Learning for Microstructure Evolution Prediction

    Feb 23, 2026Michael Trimboli, Mohammed Alsubaie, Sirani M. Perera +2Materials ScienceSpatiotemporal Forecasting

    Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL, 32901, USA · Department of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL, 32114, USA · Department of Mechanical and Civil Engineering, Florida Institute of Technology, Melbourne, FL, 32901, USA

  11. NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting in Delhi National Capital Region

    Feb 23, 2026Rampunit Kumar, Aditya MaheshwariLightweight Neural NetworksAir Quality Prediction

  12. Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training

    Feb 22, 2026Wei Chen, Junle Chen, Yuqian Wu +2Data-Efficient LearningDataset Pruning

    HKUST(GZ) · HKUST

  13. SGNO: Spectral Generator Neural Operator for Long-Horizon PDE Prediction

    Feb 21, 2026Jiayi Li, Penghao Jiang, Baiyu Chen +5PDE Surrogate ModelingNeural Operators

  14. A Deep Surrogate Model for Robust and Generalizable Long-Term Blast Wave Prediction

    Feb 20, 2026Danning Jing, Xinhai Chen, Xifeng Pu +5Neural Surrogate ModelingSpatiotemporal Forecasting

    National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China · Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology, Changsha 410073, China · College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China +2

  15. Stable Long-Horizon Spatiotemporal Prediction on Meshes Using Latent Multiscale Recurrent Graph Neural Networks

    Feb 20, 2026Lionel Salesses, Larbi Arbaoui, Tariq Benamara +2Spatiotemporal ForecastingNeural Surrogate Modeling

    Cenaero, Gosselies, Belgium

  16. TopoFlow: Topography-aware Pollutant Flow Learning for High-Resolution Air Quality Prediction

    Feb 18, 2026Ammar Kheder, Helmi Toropainen, Wenqing Peng +4Air Quality PredictionSpatiotemporal Forecasting

    Department of Computational Engineering, Lappeenranta–Lahti University of Technology LUT, Finland · Atmospheric Modelling Centre Lahti, Lahti University Campus, Finland · Institute for Atmospheric and Earth System Research, University of Helsinki, P.O. Box 64, Helsinki 00014, Finland +2

  17. MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models

    Feb 18, 2026Antonios Tziorvas, George S. Theodoropoulos, Yannis TheodoridisSpatiotemporal ForecastingIntelligent Transportation Systems

    Department of Informatics, University of Piraeus, Piraeus, Greece.

  18. MMCAformer: Macro-Micro Cross-Attention Transformer for Traffic Speed Prediction with Microscopic Connected Vehicle Driving Behavior

    Feb 17, 2026Lei Han, Mohamed Abdel-Aty, Younggun Kim +2Traffic ForecastingSpatiotemporal Forecasting

    Smart and Safe Transportation lab at the Department of Civil, Environmental and Construction Engineering, University of Central Florida, USA

  19. Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision

    Feb 17, 2026Kevin Valencia, Xihaier Luo, Shinjae Yoo +1Spatiotemporal ForecastingDiffusion-Based Inverse Problems

    University of California, Los Angeles · Brookhaven National Laboratory

  20. UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions

    Feb 15, 2026Yue Wang, Djellel Difallah, Areg Karapetyan +1Intelligent Transportation SystemsSpatiotemporal Forecasting

    New York University Abu Dhabi

  21. HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction

    Feb 5, 2026Dahai Yu, Lin Jiang, Rongchao Xu +1Spatiotemporal ForecastingState Space Models

    Department of Computer Science, Florida State University

  22. Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates

    Feb 4, 2026Irene Iele, Giulia Romoli, Daniele Molino +4Irregular Time-Series ModelingMultivariate Time Series Forecasting

    Unit of Artificial Intelligence and Computer Systems, Universit`a Campus Bio-Medico di Roma, Italy · Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Ume˚a University, Sweden · Department of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Italy

  23. Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models

    Dec 28, 2025Scott A. Martin, Noah Brenowitz, Dale Durran +1Weather ForecastingSpatiotemporal Forecasting

    NVIDIA Research, Santa Clara, CA, USA · School of Oceanography, University of Washington, Seattle, WA, USA · Department of Atmospheric & Climate Science, University of Washington, Seattle, WA, USA

  24. OccStress: Stress-Testing the 4D Occupancy Forecasting Chain

    Dec 17, 2025Yu Zheng, Jie Hu, Jiaqi Xiong +4Forecasting Benchmarks3D Occupancy Prediction

    Hunan University · ETH Zurich

  25. HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting

    Nov 26, 2025Yongyao Wang, Xie Yu, Jingyuan Wang +2Intelligent Transportation SystemsSpatiotemporal Forecasting

    1State Key Laboratory of Complex & Critical Software Environment (SKLCCSE) · School of Computer Science and Engineering, Beihang University, Beijing, China · 3MOE Engineering Research Center of Advanced Computer Application Technology, Beihang University, China

  26. A Space-Time Transformer for Precipitation Nowcasting

    Nov 14, 2025Levi Harris, Tianlong ChenPrecipitation ForecastingTransformer

    UNC Chapel Hill

  27. Efficient Linear Attention for Multivariate Time Series Modeling via Entropy Calibration

    Nov 5, 2025Mingtao Zhang, Guoli Yang, Zhanxing Zhu +2Linear AttentionMultivariate Time Series Forecasting

    Advanced Institute of Big Data, Beijing · University of Southampton

  28. LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation

    Oct 24, 2025Thaweerath Phisannupawong, Joshua Julian Damanik, Han-Lim ChoiAir Traffic ManagementIntelligent Transportation Systems

    Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.

  29. NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping

    Oct 16, 2025Yufei Zhu, Shih-Min Yang, Andrey Rudenko +3Implicit Neural RepresentationsHuman Trajectory Prediction

    Orebro University, Sweden · Technical University of Munich, Germany · Aalto University, Finland

  30. CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score

    Oct 10, 2025Erik Larsson, Joel Oskarsson, Tomas Landelius +1Graph Neural NetworksEnsemble Learning

    Linköping University · ETH AI Center · SMHI & Linköping University