Open AccessDevelopment of Sampling Procedures Based Upon Satellite Derived Land Cover History for the NSF Digital African Cities Project
Author(s) -
Stanislav Shmelev
Publication year - 2003
Publication title -
journal of political ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.899
H-Index - 23
ISSN - 1073-0451
DOI - 10.2458/v10i1.21653
Subject(s) - sampling frame , sampling (signal processing) , simple random sample , weighting , sample (material) , frame (networking) , stratified sampling , cover (algebra) , satellite , systematic sampling , computer science , geography , environmental resource management , operations research , statistics , mathematics , environmental science , engineering , telecommunications , sociology , detector , mechanical engineering , aerospace engineering , radiology , medicine , chemistry , population , chromatography , demography
This article discusses the sampling scheme employed by the Six Cities project to ensure that all areas of habitation have a chance of being selected, that we know what that chance is, and that we are able to critically evaluate the sampling strategy after it has been carried out. A weighting strategy that is slightly different from one used only to do research is therefore employed. The article describes a procedure for generating two kinds of random sample points for areas of change and of no change. Finally, a few simple rules for incorporating socioeconomic, demographic, and other relevant information into the sampling frame without introducing bias into the sample are discussed. Key words: sampling strategies; random sampling; sampling bias; local knowledge; Six Cities project; remote sensing; urban areas in Africa
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