AN ATTEMPT TO ASSESS LAND SUITABILITY FOR AGRICULTURAL PURPOSES ON THE BASIS OF PRINCIPAL COMPONENTS ANALYSIS

C. Patriche
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引用次数: 0

Abstract

The spatial fluctuations of the integrated complex of soil - climatic variables controls, more or less, the territorial variability of agricultural production and productivity. The latter also depends on the interference intensity of the economical and social variables. Principal components analysis provides a rigorous and objective quantification of these fluctuations, by means of selecting the relevant variables and assessing their relative significance in respect to the land utilization type. In this way, principal components analysis may be able to successfully solve the main problem which has hindered the elaboration of a land evaluation system with global applicability, that is the problem of production factor's quantitative (number) and qualitative (type, suitability thresholds) regional specificity. The present article attempts to demonstrate, by means of an guiding application, that this methodological path is worth exploring.
基于主成分分析评价农业用地适宜性的一种尝试
土壤-气候变量综合复合体的空间波动或多或少地控制着农业生产和生产力的地域变异。后者还取决于经济和社会变量的干扰强度。主成分分析通过选择相关变量并评估其相对于土地利用类型的重要性,对这些波动进行严格和客观的量化。这样,主成分分析就可以成功地解决阻碍制定具有全球适用性的土地评价系统的主要问题,即生产要素的定量(数量)和定性(类型、适宜性阈值)区域特异性问题。本文试图通过一个指导性的应用来证明,这种方法论路径是值得探索的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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