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GPU rasterization for real-time spatial aggregation over arbitrary polygons
2017
Proceedings of the VLDB Endowment
Visual exploration of spatial data relies heavily on spatial aggregation queries that slice and summarize the data over different regions. These queries comprise computationally-intensive point-inpolygon tests that associate data points to polygonal regions, challenging the responsiveness of visualization tools. This challenge is compounded by the sheer amounts of data, requiring a large number of such tests to be performed. Traditional pre-aggregation approaches are unsuitable in this setting
doi:10.14778/3157794.3157803
fatcat:be7fa2eijbczzglvrfpa5uu4zi