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. Deep Learning Multi-Horizon Irradiance Nowcasting: A Comparative Evaluation of Three Methods for Leveraging Sky Images

    Mar 17, 2026Erling W. Eriksen, Magnus M. Nygård, Niklas Erdmann +1Solar Irradiance ForecastingSolar Power Forecasting

    Institute for Energy Technology · University of Oslo Department of Technology Systems

  2. PanguMotion: Continuous Driving Motion Forecasting with Pangu Transformers

    Mar 17, 2026Quanhao Ren, Yicheng Li, Nan SongTrajectory PredictionVehicle Trajectory Prediction

    School of Data Science, Fudan University

  3. Spatio-temporal probabilistic forecast using MMAF-guided learning

    Mar 16, 2026Leonardo Bardi, Imma Valentina Curato, Lorenzo ProiettiBayesian Neural NetworksSpatiotemporal Forecasting

    Department of Mathematics TU Chemnitz Reichenhainer Straße 41

  4. RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecasting

    Mar 16, 2026Linrui Xu, Zhongan Wang, Fei Shen +4World Model LearningRemote Sensing VLMs

    Central South University · Zhejiang University · National University of Singapore +2

  5. The impact of machine learning forecasting on strategic decision-making for Bike Sharing Systems

    Mar 16, 2026Enrico Angelelli, Andrea Mor, Carlotta Orsenigo +2Intelligent Transportation SystemsSpatiotemporal Forecasting

    Department of Economics and Management University of Brescia, Italy · Department of Management, Economics and Industrial Engineering Politecnico di Milano, Italy

  6. Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting

    Mar 16, 2026Ziqing Ma, Kai Ying, Xinyue Gu +7Solar Irradiance ForecastingSolar Power Forecasting

    DAMO Academy, Alibaba Group, Hangzhou, Zhejiang, China · College of Computer Science, Zhejiang University of Technology, Hangzhou, Zhejiang, China · DAMO Academy, Alibaba Group, Bellevue, USA

  7. Sat-JEPA-Diff: Bridging Self-Supervised Learning and Generative Diffusion for Remote Sensing

    Mar 14, 2026Kursat Komurcu, Linas PetkeviciusSpatiotemporal ForecastingDiffusion-Based Image Generation

    Vilnius University, Faculty of Mathematics and Informatics, Institute of Computer Science, Artificial Intelligence Methods Lab, Vilnius, LT-03225, Lithuania

  8. A Grid-Based Framework for E-Scooter Demand Representation and Temporal Input Design for Deep Learning: Evidence from Austin, Texas

    Mar 13, 2026Mohammad Sahnoon, Merkebe Getachew Demissie, Roberto SouzaSpatiotemporal ForecastingFeature Selection

    Department of Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada · Department of Civil Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada

  9. Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction

    Mar 13, 2026Chenghan Wu, Zongmin Yu, Boai Sun +1Operator LearningSpatiotemporal Forecasting

    National University of Singapore

  10. Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting

    Mar 12, 2026Zineddine Bettouche, Khalid Ali, Andreas Fischer +1Spatiotemporal ForecastingTraffic Forecasting

    Deggendorf Institute of Technology, Dieter-Görlitz-Platz 1, 94469 Deggendorf

  11. Deep Generative Transformers for Probabilistic Time Series and Spatiotemporal Forecasting

    Mar 12, 2026Rajdeep Pathak, Rahul Goswami, Madhurima Panja +2Probabilistic Time Series ForecastingMultivariate Time Series Forecasting

    SAFIR, Sorbonne University Abu Dhabi, United Arab Emirates. · SCAI, Sorbonne Universit´e, Paris, France. · Indian Institute of Technology Guwahati, Assam, India.

  12. Cross-Resolution Attention Network for High-Resolution PM2.5 Prediction

    Mar 12, 2026Ammar Kheder, Helmi Toropainen, Wenqing Peng +3Air Quality PredictionSpatiotemporal Forecasting

    Department of Computational Engineering, LUT University, Finland · Atmospheric Modelling Centre Lahti (AMC-Lahti), Finland · Institute for Atmospheric and Earth System Research, University of Helsinki, P.O. Box 64, Helsinki 00014, Finland +1

  13. Spatio-Temporal Forecasting of Retaining Wall Deformation: Mitigating Error Accumulation via Multi-Resolution ConvLSTM Stacking Ensemble

    Mar 11, 2026Jihoon Kim, Heejung YounSpatiotemporal ForecastingLong-Term Time Series Forecasting

    Department of Civil and Environmental Engineering, Hongik University, Seoul, Republic of Korea · Department of Civil and Environmental Engineering, Hongik University, 94, Wausan-ro, Mapo-gu, Seoul, 04066, Republic of Korea

  14. Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression

    Mar 11, 2026Taehyung Kwon, Yeonje Choi, Yeongho Kim +1Dataset DistillationSpatiotemporal Forecasting

    Kim Jaechul Graduate School of AI, KAIST, Seoul, Republic of Korea

  15. Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning

    Mar 11, 2026Savannah L. Ferretti, Jerry Lin, Sara Shamekh +3Operator LearningSpatiotemporal Forecasting

    Department of Earth System Science, University of California Irvine, Irvine, USA · Department of Computing and Data Science, Boston University, Boston, USA · The Center for Atmosphere Ocean Science, New York University, New York, USA +4

  16. Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand

    Mar 10, 2026Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu6G NetworksSpatiotemporal Forecasting

    Communications Research Centre, Ottawa, Ontario, Canada · Carleton University, Ottawa, Ontario, Canada

  17. Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance

    Mar 9, 2026Joshua Castillo, Ravi MukkamalaSpatiotemporal Forecasting

    Old Dominion University, Norfolk, VA, USA

  18. BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction

    Mar 9, 2026Yunlong Gao, Jinbo Yang, Li Xiao +5Time Series ForecastingSpatiotemporal Forecasting

    Institute of Advanced Technology, University of Science and Technology of China, Hefei 230052, China. · MoE Key Laboratory of Brain-Inspired Intelligence Perception and Cognition, University of Science and Technology of China, Hefei 230052, China. · School of Mathematics and Computer Sciences, Nanchang University, Nanchang 330031, China. +3

  19. N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting

    Mar 7, 2026Yucheng Xing, Xin WangWildfire ForecastingDiffusion Models

    Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA

  20. Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions

    Mar 7, 2026Yiming Sun, Qi Cheng, Licheng Liu +3Crop Yield PredictionSpatiotemporal Forecasting

    University of Pittsburgh, Pittsburgh, PA, USA · University of Wisconsin-Madison, Madison, WI, USA · University of Alabama, Tuscaloosa, AL, USA +1

  21. Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics

    Mar 7, 2026Rajdeep Pathak, Tanujit ChakrabortyEpidemic ForecastingSpatiotemporal Forecasting

    SAFIR, Sorbonne University Abu Dhabi, United Arab Emirates · SCAI, Sorbonne Université, Paris, France

  22. Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations

    Mar 6, 2026Alejandro J. González-Santana, Giovanny A. Cuervo-Londoño, Javier SánchezProbabilistic Time Series ForecastingDeep Ensembles

    Centro de Tecnologías de la Imagen Instituto Universitario de Cibernética, Empresas y Sociedad (IUCES) University of Las Palmas de Gran Canaria, Spain · Oceanografía Física y Geofísica Aplicada Instituto Universitario en Acuicultura Sostenible y Ecosistemas Marinos (ECOAQUA) University of Las Palmas de Gran Canaria, Spain

  23. UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration

    Mar 6, 2026Xingsheng Chen, Xianpei Mu, Deyu Yi +6Multivariate Time Series ForecastingLong-Term Time Series Forecasting

    School of Computing and Data Science, The University of Hong Kong, Hong Kong, China · School of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China · Innovation Engineering College, Macau University of Science and Technology, Macau, China +1

  24. Uniform Inductive Spatio-Temporal Kriging

    Mar 5, 2026Lewei Xie, Haoyu Zhang, Yulong Chen +3Spatiotemporal ForecastingLearning with Missing Data

    City University of Hong Kong (Dongguan) · City University of Hong Kong

  25. Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach

    Mar 5, 2026Rares Grozavescu, Pengyu Zhang, Mark Girolami +1Spatiotemporal ForecastingPDE Surrogate Modeling

    Department of Engineering, University of Cambridge, Cambridge, UK · Alan Turing Institute, London, UK · INRIA, Paris, France

  26. Weather-Related Crash Risk Forecasting: A Deep Learning Approach for Heterogenous Spatiotemporal Data

    Mar 4, 2026Abimbola Ogungbire, Srinivas PulugurthaTraffic Accident AnticipationSpatiotemporal Forecasting

    Traffic Engineering, Gresham Smith, Alpharetta, 30009, GA - USA. · Civil Engineering, University of Mississippi, Oxford, 38677, MS - USA.

  27. Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction

    Mar 3, 2026Yiming Sun, Runlong Yu, Rongchao Dong +6Spatiotemporal ForecastingMultiscale Time-Series Modeling

    University of Pittsburgh, Pittsburgh, PA, USA · University of Alabama, Tuscaloosa, AL, USA · Purdue University, West Lafayette, IN, USA +3

  28. DWAFM: Dynamic Weighted Graph Structure Embedding Integrated with Attention and Frequency-Domain MLPs for Traffic Forecasting

    Mar 1, 2026Sen Shi, Zhichao Zhang, Yangfan HeTraffic ForecastingSpatiotemporal Forecasting

    School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China · Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China · Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China +2

  29. Phys-Diff: A Physics-Inspired Latent Diffusion Model for Tropical Cyclone Forecasting

    Feb 28, 2026Lei Liu, Xiaoning Yu, Kang Chen +4Tropical Cyclone Intensity ForecastingWeather Forecasting

    University of Science and Technology of China, Hefei, China · Hefei University of Technology, Hefei, China

  30. HURRI-GAN: A Novel Approach for Hurricane Bias-Correction Beyond Gauge Stations using Generative Adversarial Networks

    Feb 27, 2026Noujoud Nadera, Hadi Majed, Stefanos Giaremis +4Spatiotemporal ForecastingFlood Forecasting

    Center of Computation and Technology, Louisiana State University, Baton Rouge, 70803 LA, US · Saint-Joseph University of Beirut, Beirut, 1104, Lebanon · Department of Physics, Aristotle University of Thessaloniki, Thessaloniki , 54124, Greece +3