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10 November 2008 Geographic information system data sampling design and implementation
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Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71461C (2008) https://doi.org/10.1117/12.813139
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chengsheng Jiang, Jinfeng Wang, Maogui Hu, Liangfa Li, and Zhidong Cao "Geographic information system data sampling design and implementation", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71461C (10 November 2008); https://doi.org/10.1117/12.813139
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