GitHub topics: sigspatial
Koda7/Point-in-Polygon-Detection
Developed an optimized solution to the point-polygon query program mentioned by the ACM SIGSPATIAL CUP 2013. Showed differences between naive solution and my solution. Achieved 100% accuracy for both 'INSIDE' and 'WITHIN n' queries.
Language: Jupyter Notebook - Size: 7.99 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
USC-InfoLab/busyness-graph-neural-network
Busyness Graph Neural Network (BysGNN): A framework for accurate Point-of-Interest visit forecasting using dynamic graphs that capture spatial, temporal, semantic, and taxonomic contexts. Presented at ACM SIGSPATIAL 2023, this repository includes code, baselines, and experiments.
Language: Jupyter Notebook - Size: 85.5 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
Calychas/highway2vec 📦
highway2vec: representing OpenStreetMap microregions with respect to their road network characteristics
Language: Jupyter Notebook - Size: 70.2 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1
