Devising tools for big data sets to support computational movement analysis

该项目旨在为大型时空数据集设计实用的基本算法和多用途数据结构，并提供性能保证。 自20世纪50年代以来，对轨迹数据的系统分析就一直在进行，但随着最近的技术进步，数据集的规模最近猛增。现有的计算工具是为中小型数据集开发的。该项目旨在设计实用的基本算法，从而能够为广泛的应用开发特定领域的工具，包括体育，行为生态学，运输和监控。

This project aims to devise practical fundamental algorithms and multi-purpose data structures with performance guarantees for big spatio-temporal data sets. Systematic analysis of trajectory data has been occurring since the 1950s, but with the recent technological advances the size of the data sets has recently soared. Existing computational tools were developed for small to mid-size data sets. This project aims to devise practical fundamental algorithms that will enable the development of domain specific tools for a wide range of applications, including sports, behavioural ecology, transport, and surveillance.