地理与地理信息科学

2015, v.31(03) 1-6

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Past Issue) | 高级检索(Advanced Search)

一种基于事件的双序列时空数据模型
An Event-Based Dual-Lists Spatio-Temporal Data Model

刘飞;何珍文;郑新奇;
LIU Fei;HE Zhen-wen;ZHENG Xin-qi;China University of Geosciences;

摘要(Abstract):

针对现有时空数据模型研究中存在的诸多不足,特别是基于事件的时空模型缺乏以空间对象个体为单位的时空变化贯穿式表达能力等缺点,提出一种基于事件的双序列时空数据模型,将状态变化与空间对象的变化用双重序列表达,用序列存储对象的变化解决了现有时空数据模型基于空间对象个体时空变化信息表达能力弱的问题。实验表明,该模型可有效用于时空数据管理。
Spatio-temporal data model is one of the focuses as well as difficult issues in the spatio-temporal database and spatiotemporal GIS research.To overcome the shortage of existing spatio-temporal data models,especially the event-based model lacking the ability to describe the spatio-temporal changes on spatial entities,the paper present an event-based dual-lists spatiotemporal data model.The model will express the spatio-temporal changes by double lists to solve the problem of lacking the ability of spatial entities individual spatio-temporal changes expression that is existing in spatio-temporal data model.The experimental results show that the model presented in this paper is valid in managing spatio-temporal data.

关键词(KeyWords): GIS;时空数据;数据模型
GIS;spatio-temporal data;data model

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41101368);; 国家863计划项目(2012AA121401);; 985优势学科平台建设项目

作者(Author): 刘飞;何珍文;郑新奇;
LIU Fei;HE Zhen-wen;ZHENG Xin-qi;China University of Geosciences;

Email:

DOI:

参考文献(References):

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享