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Discussion on Environmental Changes According with Statistic Analyzing from Local Temperature Data

机译:根据局部温度数据的统计分析,关于环境变化的讨论

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In this paper, we introduce some temperature data analysis-cluster analysis, linear correlation analysis, and use SPSS software to see climate changes. Through the cluster analysis and linear correlation analysis of temperature change of the region in a decade, the relationship among categories and degree of linear correlation within a category are found by categorizing and contrasting the temperature of the region. In this paper, the corresponding data in the form of graphs and tables illustrate these relationships to reveal the profound laws underlying the temperature data, and these laws reveal a number of essential reasons of temperature-related natural disasters. Much impact of natural disasters on economy, politics and culture of the Asia-Pacific region (especially China) can be found from the statistical analysis of temperature data. And through the statistic analysis of the data, countermeasures should be adopted to make future economy become sustainable development and to promote good cultural-political environment of the Asia-Pacific region.
机译:在本文中,我们介绍了一些温度数据分析 - 聚类分析,线性相关性分析,并使用SPSS软件查看气候变化。通过多年地区的温度变化的集群分析和线性相关性分析,通过对该区域的温度进行分类和对比,找到类别内的线性相关程度和线性相关程度的关系。在本文中,图形和表格形式的相应数据说明了揭示温度数据潜在的深刻法律的关系,这些关系揭示了与温度相关的自然灾害的必要原因。自然灾害对经济,政治和文化的影响很大,可以从温度数据的统计分析中发现亚太地区(特别是中国)。通过对数据的统计分析,应采取对策来使未来经济成为可持续发展,促进亚太地区的良好文化治区。

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