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k -means nonhierarchical cluster analysis using farm size, slope, and distance to the nearest city center and highway as surrogates
of farmland conversion. Discriminant analysis showed that the two groups derived from the cluster analysis were 98.8% accurate
(P < 0.0000). Results from the statistical analysis may serve as a starting point for the identification of individual farms
prone to residential development. To explain the driving forces of farmland conversion to residential uses, interviews should
be conducted with farmers, landowners, and land buyers. The use of multivariate statistical techniques to identify farms in
jeopardy of residential development, in conjunction with qualitative assessments that explain the probability of development
of individual farms, may prove a useful strategy to understand and predict farmland conversion. 相似文献
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