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.
This paper demonstrates GEOSPARK a cluster computing framework for developing and processing large-scale spatial data analytics programs. GEOSPARK consists of three main layers: Apache Spark Layer, Spatial RDD Layer and Spatial Query Processing …
This paper introduces GeoSpark an in-memory cluster computing framework for processing large-scale spatial data. GeoSpark consists of three layers: Apache Spark Layer, Spatial RDD Layer and Spatial Query Processing Layer. Apache Spark Layer provides …
Apache Sedona is a cluster computing system for processing large-scale spatial data. GeoSpark extends Apache Spark / SparkSQL to efficiently load, process, and analyze large-scale spatial data across machines.