All Stories

  1. Evaluating Intrinsic Geospatial Topological Reasoning in LLMs
  2. Generating human trajectories with Transformers
  3. Introduction to the Special Issue on Vision Papers
  4. Mobility Data Science: Perspectives and Challenges
  5. Generating Realistic and Representative Trajectories with Mobility Behavior Clustering
  6. Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting
  7. NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks
  8. A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy
  9. Spatial Gems 2022 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Spatial Gems
  10. HTF: Homogeneous Tree Framework for Differentially-Private Release of Large Geospatial Datasets with Self-Tuning Structure Height
  11. ASTRO: Reducing COVID-19 Exposure through Contact Prediction and Avoidance
  12. Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data
  13. Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I
  14. Quantifying Intrinsic Value of Information of Trajectories
  15. CrowdMap
  16. HTF
  17. Crosstown Foundry: A Scalable Data-driven Journalism Platform for Hyper-local News
  18. The 2nd ACM SIGSPATIAL International Workshop on Spatial Gems
  19. REACT
  20. Fast Distance-based Outlier Detection in Data Streams based on Micro-clusters
  21. Multi-task Representation Learning for Travel Time Estimation
  22. A Real-Time Framework for Task Assignment in Hyperlocal Spatial Crowdsourcing
  23. Scenic Routes Now
  24. PaRE
  25. Inferring Traffic Incident Start Time with Loop Sensor Data
  26. Latent Space Model for Road Networks to Predict Time-Varying Traffic
  27. PerNav
  28. Geographic Segmentation via Latent Poisson Factor Model
  29. Real-Time Multi-Criteria Social Graph Partitioning
  30. GeoTruCrowd
  31. Crowd sensing of traffic anomalies based on human mobility and social media
  32. Maximizing the number of worker's self-selected tasks in spatial crowdsourcing
  33. Entropy-based histograms for selectivity estimation