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.
Keywords: sampling strategies, random sampling, sampling bias, local knowledge, Six Cities project, remote sensing, urban areas in Africa
How to Cite:
Marsh, S. E. & Park, T. K. & Eiswerth, B. A. & Farah, M. H. & Rautenkranz, D. S. & Orr, B. J., (2003) “Development of Sampling Procedures Based Upon Satellite Derived Land Cover History for the NSF Digital African Cities Project”, Journal of Political Ecology 10(1), p.63-68. doi: https://doi.org/10.2458/v10i1.21653