big data

A demonstration of GeoSpark: A cluster computing framework for processing big spatial data. In Proceedings of the Internation

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 …

GeoSpark - A Cluster Computing Framework for Processing Large-Scale Spatial Data

GeoSpark: A Cluster Computing Framework for Processing Large-Scale Spatial Data

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

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.