大数据与广义GIS

陆锋; 张恒才

doi:10.13203/j.whugis20140148

大数据与广义GIS

陆锋¹,
张恒才¹

¹ 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京,100101

基金项目: 国家863计划资助项目(2013AA120305,2012AA12A211)；国家自然科学基金资助项目(41271408)

详细信息

作者简介:
陆锋,博士,研究员,博士生导师。研究方向为导航与位置服务、空间数据库技术、交通地理信息系统等。

中图分类号: P208
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出版历程
- 收稿日期: 2014-03-03
- 修回日期: 2014-06-04
- 发布日期: 2014-06-04

Big Data and Generalized GIS

LU Feng¹,
ZHANG Hengcai¹

¹State Key Laboratory of Resources and Environmental Information System,Institute of GeographicalSciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

Funds: The National High Technology Research and Development Program of China(863Program),Nos.2013AA120305,2012AA12A211;the National Natural Science Foundation of China,No.41271408.

More Information

Author Bio:
LU Feng,PhD,researcher,PhD supervisor.His research interests cover location based services,spatial DBMS,and GISfor transportation.

摘要

摘要: 目的普适计算基础设施和数据处理技术的发展催生了大数据概念,而大数据时空粒度的不断细化加速了地理空间信息的泛化过程。阐述了大数据时代地理空间信息泛化的显著特征,进而提出GIS概念广义化的迫切需求,从数据采集与整理、数据管理与集成、数据分析与计算三个方面分析了广义GIS所面临的技术挑战,重点探讨了互联网蕴含地理空间数据采集、移动对象数据库和异构动态数据管理、移动对象轨迹数据挖掘、复杂网络分析等方面的研究进展与存在的问题,并展望了广义GIS时代地理计算与城市计算、社会计算的融合趋势。
- 广义地理信息系统 /
- 互联网文本搜索 /
- 移动对象数据库 /
- 轨迹数据挖掘 /
- 复杂网络
Abstract: Objective The development of an ubiquitous computing infrastructure and data processing technologiesare giving birth to big data,and the continuous refining of the spatial-temporal granularities of big da-ta speeds up the generalization of geo-spatial information.In this paper,the distinctive characteristicsof generalized geo-spatial information are investigated,and the urgent need for a more generalized con-cept of GIS are clarified.Then the technical challenges for general GIS are set forward in terms of datacollection and cleaning,data management and integration,and data analysis and computing.The pro-gress is summarized and the research issues are discussed in geo-spatial data collection with Internettext mining,moving object database,dynamic and heterogeneous data management,moving trajectorydata mining,and complex network analysis.The fusion of geocomputation,urban computing and so-cial computing in the near future is considered at the end of the paper.
- generalized GIS /
- Internet text mining /
- moving object database /
- trajectory mining /
- com-plex network