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In the part of correlation analysis of topographic factors, I used Pearson’s correlation coefficient to study the correlation of them. Judging whether the two are related depends on two aspects: significance level and correlation coefficient. The correlation results are shown in Table 1. The first row of value is the Pearson coefficient and the second row of value is the P-value. As we can see from the correlations table created using SPSS, only the correlation between average elevation and average slope is significant at the 0.05 level. Only when the p-value is lower than 0.05, the value of the Pearson coefficient is meaningful. Other p-values larger than 0.05 mean that we could not reject the null hypothesis. However, it means that these topographic factors can reflect the characteristics of Loess Plateau from different aspects because of their low correlation. In addition, I only used three test areas to make the correlation analysis. If possible, the analysis results of more test areas are more convincing.
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In the part of correlation analysis of topographic factors, I used Pearson’s correlation coefficient to study the correlation of them. Judging whether the two are related depends on two aspects: significance level and correlation coefficient. The correlation results are shown in Table 1. The first row of value is the Pearson coefficient and the second row of value is the P-value. As we can see from the correlations table created using SPSS, only the correlation between average elevation and average slope is significant at the 0.05 level. Only when the p-value is lower than 0.05, the value of the Pearson coefficient is meaningful. Other p-values larger than 0.05 mean that we could not reject the null hypothesis. However, it means that these topographic factors can reflect the characteristics of Loess Plateau from different aspects because of their low correlation. In addition, I only used three test areas to make the correlation analysis. If possible, the analysis results of more test areas are more convincing.<br>
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<div align = center> Table 1. correlations of topographic factors</div>
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