Practice of Urban Physical Examination Evaluation based on Multi-source Spatial-temporal Big Data Perspective——Case Study of Xiamen City
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.
spatial-temporal big dataurban physical examinationXiamen
NETL
NSTL
万方数据
