The 7th workshop on Analytics for Big Geospatial Data aims to bring together researchers from academia, government and industrial research labs who are working in the area of spatial analytics with an eye towards massive data sizes. The objective of this workshop is to provide a platform for researchers engaged in addressing the big data aspect of spatial and spatio-temporal data analytics to present and discuss their ideas. We invite participants from industry, academia, and government to participate in this event and share, contribute, and discuss the emerging big data challenges in the context of spatial and spatio-temporal data analysis.
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. 2. 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. All submitted papers will be peer reviewed. We have identified a set of researchers who are currently active in the related research areas as potential reviewers. 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. Otherwise, the accepted paper will not appear in the workshop proceedings or in the ACM Digital Library version of the workshop proceedings.
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