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本研究采用稳定同位素质谱和等离子发射光谱质谱法测定茶叶中同位素比率和多元素含量,并结合主成分分析(PCA)和线性判别分析(LDA)法建立模型,对福建、山东和浙江出产的茶叶,以及浙江余姚、金华和西湖出产的茶叶进行产地溯源判定。结果表明,不同产地的茶叶中稳定同位素δ15N、δ13C、δD、δ18O数值范围不同,而且Li、Be和Na等27个矿物元素的含量变化也较大,具有一定的地域特征。PCA法能够区分不...
Development and Validation of a Method of Forestry Region Classification Using PCA and Cluster Analysis together with the SOM Algorithm
cluster analysis Principal Component Analysis regional classification Self-Organizing Maps algorithm ward method
2009/8/28
It is said that forestry is affected by many complex factors such as geographic or the economic factors. So we must consider carefully when we study the activity of the total Non-Industrial Private Fo...
Cassava production and processing characteristics in southern Cameroon：An analysis of factors causing variations in practices between farmers using Principal Component Analysis（PCA）
Cassava Cameroon PCA survey variations
2009/3/4
A questionnaire-based survey study was carried out during a 3 month period, from January to April 1998, in 45 villages belonging to three locations (Yaoundé, Mbalmayo, and Ebolowa) of southern Camer...