The paper presents Babylon a large-scale Geospatial Visual analytics (GeoViz) system that performs the spatial data preparation and map visualization phases in the same distributed cluster.
In this paper, we present our experience in indexing the dropoff and pick-up locations of taxi trips in New York City. The paper presents a comprehensive experimental analysis of classic and state-ofthe-art spatial database indexing schemes. The …
The paper demonstrates Hippo a lightweight database indexing scheme that significantly reduces the storage and maintenance overhead without compromising much on the query execution performance. Hippo stores disk page ranges instead of tuple pointers …
GeoSparkViz is a large-scale geospatial map visualization framework. GeoSparkViz extends Apache Spark to provide native support for general cartographic design.
Classic database indexes (e.g., B+-Tree), though speed up queries, suffer from two main drawbacks: (1) An index usually yields 5% to 15% additional storage overhead which results in non-ignorable dollar cost in big data scenarios especially when …
Hippo is a fast, yet scalable, database indexing approach. It significantly shrinks the index storage and mitigates maintenance overhead without compromising much on the query execution performance.