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Localizing Growth Model of Chamaecyparis obtusa Stands Using Dummy Variables in a Single Equation

机译:在单个方程式中使用虚拟变量对美洲小Cha站立的本地化生长模型

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This study was carried out to construct a single diameter and a single height model that could localize Chamaecyparis obtusa stand grown in 3 Southern regions of Korea. Dummy variables, which convert qualitative information such as geographical regions into quantitative information by means of a coding scheme (0 or 1), were used to localize growth models. In results, modified form of Gompertz equation, Y_2=exp(ln(Y_1)exp(-β(T_2-T_1)+γ(T_2~2-T_1~2))+(α+α_1Al+β_1k_1+β_2k_2)(l-exp(-β(T_2-T_1)+γ(T_2~2-T_1~)), for diameter and height was successfully disaggregated to provide different projection equation for each of the 3 regions individually. The use of dummy variables on a single equation, therefore, provides potential capabilities for testingthe justification of having different models for different sub-populations, where a number of site variables such as altitude, annual rainfall and soil type can be considered as possible variables to explain growth variation across regions.
机译:进行了这项研究,以构建可以定位在韩国南部3个地区生长的Chamaecyparis obtusa林分的单个直径和单个高度模型。虚拟变量用于通过编码方案(0或1)将定性信息(例如地理区域)转换为定量信息,用于定位增长模型。结果是Gompertz方程的修改形式Y_2 = exp(ln(Y_1)exp(-β(T_2-T_1)+γ(T_2〜2-T_1〜2))+(α+α_1Al+β_1k_1+β_2k_2)(l -exp(-β(T_2-T_1)+γ(T_2〜2-T_1〜)),成功地分解为直径和高度,以分别为3个区域提供不同的投影方程。因此,方程式提供了潜在的能力来测试针对不同亚人群使用不同模型的合理性,其中许多场地变量(例如海拔高度,年降雨量和土壤类型)可以视为解释区域间生长变化的可能变量。

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