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Proceedings Paper

Geographic information system data sampling design and implementation
Author(s): Chengsheng Jiang; Jinfeng Wang; Maogui Hu; Liangfa Li; Zhidong Cao
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Paper Abstract

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.

Paper Details

Date Published: 10 November 2008
PDF: 12 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71461C (10 November 2008); doi: 10.1117/12.813139
Show Author Affiliations
Chengsheng Jiang, Institute of Geographical Sciences and Natural Resources Research (China)
Jinfeng Wang, Institute of Geographical Sciences and Natural Resources Research (China)
Maogui Hu, Institute of Geographical Sciences and Natural Resources Research (China)
Liangfa Li, Institute of Geographical Sciences and Natural Resources Research (China)
Zhidong Cao, Institute of Geographical Sciences and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 7146:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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