Discussion on Environmental Changes According with Statistic Analyzing from Local Temperature Data
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.
Cluster Analysis P－P Plot Temperature
ZHAO Xiang FENG Changhuan
School of Math and Information, China West Normal University, Nanchong, Sichuan, P.R.China, 637002
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-7
2008-08-14（万方平台首次上网日期，不代表论文的发表时间）