基于多源时空大数据视角下的城市体检评估实践——以厦门市为例
Practice of Urban Physical Examination Evaluation based on Multi-source Spatial-temporal Big Data Perspective——Case Study of Xiamen City
陈彪1
作者信息
- 1. 厦门市规划数字技术研究中心,厦门 361001
- 折叠
摘要
大数据应用的兴起为城市研究与实践带来了新的思路与方法.与传统数据调查技术相比,多源时空大数据具有高采样率、大数据量、连续性和实时性等特点,能够以较低的成本获取高精确性的数据成果,并可持续进行动态更新.为城市发展建设当中的各类动态评估提供了崭新的技术手段,本文结合厦门市城市体检工作,基于多源时空大数据视角对覆盖城市重点问题的城市体检评估实践进行了总结和探索.
Abstract
The rise of big data application has brought new ideas and methods to urban research and practice.Compared with traditional data survey technology,multi-source spatial-temporal big data has the characteristics of high sampling rate,large amount of data,continuity and real-time,which can obtain high-precision data results at low cost and continuously update dynamically.This paper summarizes and explores the practice of urban physical examination evaluation covering key urban issues from the perspective of multi-source spatial-temporal big data,in combination with the urban physical examination work in Xiamen.
关键词
时空大数据/城市体检/厦门Key words
spatial-temporal big data/urban physical examination/Xiamen引用本文复制引用
出版年
2024
NETL
NSTL
万方数据