Three BGD Publications Accepted at ACM SIGSPATIAL 2026

Our group has three full/short/vision papers accepted at ACM SIGSPATIAL 2026 (Riverside, CA, USA, November 3–6, 2026), covering privacy-aware trajectory modeling, cache-efficient spatial data structures, and community benchmarking initiatives.

Accepted Papers:

• TraBiMap: A Transition-Centric Probabilistic Binary Map of Trajectories for Privacy-Aware Analysis
  Authors: Paul Walther, Florian Theimer, Xuanshu Luo, Matthias Schubert, Martin Werner
  Scope: 14-page paper presenting a probabilistic binary mapping approach for movement data centered on transitions, balancing analytical utility with privacy requirements.
  DOI: 10.1145/3841645.3842970

• Spatial-Blocked Bloom Filters: Cache-Efficient Spatial Membership for Raster and Voxel Maps
  Authors: Moritz Laass, Paul Walther, Martin Werner
  Scope: 4-page paper optimizing containment and membership queries for spatial raster/voxel representations via cache-aware block layouts.
  DOI: 10.1145/3841645.3844201

• Envisioning Unified Spatial Benchmarks
  Authors: Paul Walther, Fabian Deuser, Chiara Pugliese, Wejdene Mansour, Xuanshu Luo, Johann Maximilian Zollner, Katharina Anders, Eleni Tzirita Zacharatou, Chiara Renso, Vagelis Hristidis, Ahmed Eldawy, Martin Werner
  Scope: 4-page community-driven position/vision paper outlining standardized benchmarking frameworks for spatial data management systems.
  DOI: 10.1145/3841645.3843415