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The journal of Global Geology (English Edition ) is sponsored by the International Cen- ter of Geoscience Research and Education in Northeast Asia, Jilin University of China. The former name of the journal was the Journal of International GeoscientiJic Research in Northeast Asia which was started in 1998 and served the scientists and teachers in geosciences in the world, particularly for the scientists from the six countries of the NE Asia including China,  相似文献   
2.
主成分分析模型是一种将原始多个指标转化为少数几个相互独立的包含原始指标绝大部分信息的综合指标的统计学方法。利用MATLAB软件探索了利用主成分分析模型对专题数据进行处理的方法,并利用科学可视化方法对处理结果进行分析评价。实验表明,主成分分析模型能够有效简化原始变量,挖掘原始数据中的隐藏信息。  相似文献   
3.
背景气候和城市化对中国东南部增温的联合效应(英文)   总被引:6,自引:1,他引:5  
Based on China homogenized land surface air temperature and the National Centers for Environmental Prediction/Department of Energy (NCEP/DOE) Atmospheric Model Intercomparison Project (AMIP)-Ⅱ Reanalysis data (R-2), the main contributors to surface air temperature increase in Southeast China were investigated by comparing trends of urban and rural temperature series, as well as observed and R-2 data, covering two periods of 1954-2005 and 1979-2005. Results from urban-rural comparison indicate that urban heat island (UHI) effects on regional annual and autumn minimum temperature increases account for 10.5% and 12.0% since 1954, but with smaller warming attribution of 6.2% and 10.6% since 1979. The results by comparing observations with R-2 surface temperature data suggest that land use change accounts for 32.9% and 28.8% in regional annual and autumn minimum temperature increases since 1979. Accordingly, the influence of land use change on regional temperature increase in Southeast China is much more noticeable during the last 30 years. However, it indicates that UHI effect, overwhelmed by the warming change of background climate, does not play a significant role in regional warming over Southeast China during the last 50 years.  相似文献   
4.
主成分分析模型在数据处理中的应用   总被引:10,自引:0,他引:10  
主成分分析模型是一种将原始多个指标转化为少数几个相互独立的包含原始指标绝大部分信息的综合指标的统计学方法.利用MATLAB软件探索了利用主成分分析模型对专题数据进行处理的方法,并利用科学可视化方法对处理结果进行分析评价.实验表明,主成分分析模型能够有效简化原始变量,挖掘原始数据中的隐藏信息.  相似文献   
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