Comparison of systematic unaligned sampling designs for estimating land uses Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_projects/hd76s086f

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  • The direction and scope of this research paper follows closely an earlier sampling study conducted by Behm and Pease (1985). In this pilot project, the authors employed a two-stage random sampling method in determining land use estimates. Anderson's land use classification system was used for data categorization (Table 1). The study shows random sampling does not give adequate coverage of the population of land-use types. Primary sampling units were concentrated in just a few areas of the map and in other areas no primary sampling units were chosen. Representative coverage of the area was important because all parts were of equal interest. In addition, the random sampling scheme was not sensitive in detecting sporadic or concentrated types of land use distribution.
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