This paper describes SpatialHadoop; a full-fledged MapReduce framework with native
support for spatial data. SpatialHadoop is a comprehensive extension to Hadoop that injects …

摘要随着无线通信技术和智能移动终端的快速发展, 基于位置的服务(Location
basedServices, LBS) 在军事, 交通, 物流等诸多领域得到了广泛应用, 它能够根据移动对象的 …

Large spatial data becomes ubiquitous. As a result, it is critical to provide fast, scalable, and
high-throughput spatial queries and analytics for numerous applications in location-based …

This demo presents SpatialHadoop as the first full-fledged MapReduce framework with
native support for spatial data. SpatialHadoop is a comprehensive extension to Hadoop that …

数据获取技术的革命性进步, 存储器价格的显著下降以及人们希望从数据中获得知识的客观需要
等, 催生了大数据. 数据管理技术迎来了大数据时代. 关系数据库技术经历了20 世纪70 …

This paper presents ST-Hadoop; the first full-fledged open-source MapReduce framework
with a native support for spatio-temporal data. ST-Hadoop is a comprehensive extension to …

Massive trajectory data is being generated by GPS-equipped devices, such as cars and
mobile phones, which is used increasingly in transportation, location-based services, and …

Hadoop, employing the MapReduce programming paradigm, has been widely accepted as
the standard framework for analyzing big data in distributed environments. Unfortunately …

The recent explosion in the amount of spatial data calls for specialized systems to handle
big spatial data. In this paper, we discuss the main features and components that needs to …

With the development of positioning technology, a large number of trajectories have been
generated, which are very useful for many urban applications. However, it is challenging to …