cje ›› 1989, Vol. ›› Issue (5): 4-9.
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Ye Jingzhong1, Wang Gaofeng1, Zhao Renshou2, Zhu Naiweng2, Ren Baoshan2
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Abstract: In this paper, multivariate statistics analysis is used to create a numerical approach for the classification of forest site. This approach makes the well-known Bogelebnek’s site Grid Maps become quantitative. Forest sites on the southern slope of the Purple Mountain are classified into 8 major types, each corresponds a definite range of nutrient and water scores. The probability of errorous differentiation is only 9.7%, representing the high accuracy of the 8 site types classified with numerical classification method.
Ye Jingzhong, Wang Gaofeng, Zhao Renshou, Zhu Naiweng, Ren Baoshan. Numerical Classification of Forest Site on Southern Slope of the Purple Mountain[J]. cje, 1989, (5): 4-9.
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http://www.cje.net.cn/EN/Y1989/V/I5/4