BigSpatial 2019

Call for Papers

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

We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Submitted papers can be of two types:

1. Regular Research Papers: These papers should report original research results or significant case studies. They should be at most 10 pages.

1. Position Papers: These papers should report novel research directions or identify challenging problems. They should be at most 4 pages.

Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates. Submissions are limited to 10 pages. All submissions should clearly present the author information including the names of the authors, the affiliations and the emails. The papers should be submitted through the workshop submission system. One author per accepted workshop paper is required to register for both the main SIGSPATIAL conference and the workshop, to attend the workshop, and to present the accepted paper in the workshop.