Geographic information system data sampling design and implementation
Jiang Chengsheng, Jinfeng Wang, Maogui Hu, Liangfa Li, Zhidong Cao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
This paper discusses the importance of sampling in Geographic Information Systems (GIS), and briefly summarizes the classical sampling theories of simple random sampling, systematic sampling and stratified sampling. The main purpose of this paper is to introduce the architecture of spatial sampling software named as Sandwich Spatial Sampling Package. In this software, the steps of sampling include calculating sampling size, distributing samples, calculating and displaying sampling results. The first step can be divided into four parts: setting configuration files, selecting sampling fields and relative parameters, inputting parameters to calculate sampling sizes and displaying calculated results to help users choose the best function to calculate sampling size.