BigSpatial 2020 - 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data

The workshop welcomes contributions in the area of large scale analytics for spatial and spatio-temporal data. The topics include:
1. Scalable analysis algorithms for spatial and spatio-temporal data mining
2. Novel applications on high performance computing frameworks (Clusters, GPU, cloud, Grid) for large scale spatial and spatio-temporal analysis
3. Performance studies comparing clouds, grids, and clusters for spatial and spatio-temporal analytics
4. Novel indexing methods for massive geospatial data
5. Visualization of massive geospatial data
6. Customizations and extensions of existing software infrastructures such as Hadoop for spatial, and spatiotemporal data mining
7. Applications of big data analysis: Climate Change, Disaster Management, Monitoring Critical Infrastructures, Transportation
Website: https://bigspatial2020.github.io/