气温和日照区分方法

气温和日照区分方法

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contributed at 2018-12-04

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Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
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Method-focused categoriesData-perspectiveGeostatistical analysis

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Chinese {{currentDetailLanguage}} Chinese

气温和日照区分方法

1)主成分分析

把观测点数作为P,各观测点的资料作为xm主成分表示为:

 
 


式中m主成分;p特性值;是对应m主成分m*p个特性值的加权系数。

Jacobi法,求解上述基本方程式的特征值()和特征向量(I)。

主成分的变动对于全变动的比例,即贡献率以及m主成分的累积贡献率(用百分比表示):

       
   
 


各主成分同地点的气候要素间的时间变动特性值(因子负荷量):

 
 


式中,为第j地点的特征向量;为第i主成分的特征值;之间的相关系数(即因子负荷量)。

(2)区划指标的计算

 
 


群平均法计算聚类间的类似度:

式中,表示任何个体r和群和群中任意个体s之间的欧几里得距离的平方;为群和群间的距离;合并成新的群,再求同其他群的距离时,有

参考文献

    赵焕辰:东北地区气温和日照区划。地理研究,198543

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How to Cite

《资源环境数学模型手册》 (2018). 气温和日照区分方法, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/a9c6c4a3-f4b3-480c-a221-7c16dd9497c5
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Last modifier : 
zhangshuo
Last modify time : 
2020-12-17
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Contributor(s)

initial contribute: 2018-12-04

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feedback

History

Last modifier : 
zhangshuo
Last modify time : 
2020-12-17
Modify times : 
View History

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