关键词: 空间抽样, 适应性网络抽样, 社会经济问题

Abstract: With the complexity of the sampling environment in the background of big data, especially the maturing of 3S technology ( remote sensing technology, geographic information system and global positioning system ),more and more socio-economic problems involve spatial sampling, which is characterized by relatively sparse size, uneven distribution and local aggregation, so that the traditional sampling survey faces serious challenges. Our paper introduces an innovation adaptive sampling technology in the space network environment, such as the basic principle, operational procedures, MCMC estimation based on the example of Tianhe District in Guangzhou City. Our findings provide helpful theoretical support and empirical reference for the space sampling.

Key words: Spatial Sampling, Adaptive Web Sampling, Socio-Economic Issues