## 4 Results
### Correlation between Ground Deformation and Factors  
#### 4.2.1 Urbanization Rate of Dali City  
Urbanization has been a key issue among scholars concerning the development and modernization of China and other developing countries. [59; 60; 61] used a parameter of urbanization to quantify the results, which was generally defined as the proportion of the urban population in the total population (including the agricultural and non-agricultural population) [62]. From the statistical yearbook, the relevant data from 2014 to 2017 of Dali City and the relevant calculation results are shown in Table 4. The total population and urban population of Dali City were increasing; thus, the proportion of the rural population was decreasing gradually, which led to the increasing trend of the urbanization rate from 2014 to 2017, where the city's urbanization rate increased by 5%. In addition, the construction area of Dali City was also expanding, which reflected the current situation of local urban expansion in the local region.  
Figure 8: Verification Results.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Interval Center Value** & **Counts** & **Data Summation** & **Cumulative Percentage** \\ \hline \(-85\) & 2 & 2 & 0.0006\% \\ \(-75\) & 4 & 6 & 0.002\% \\ \(-65\) & 43 & 49 & 0.015\% \\ \(-55\) & 9 & 58 & 0.018\% \\ \(-45\) & 139 & 197 & 0.062\% \\ \(-35\) & 1120 & 1317 & 0.413\% \\ \(-25\) & 7687 & 9004 & 2.822\% \\ \(-15\) & 53739 & 62743 & 19.667\% \\ \(-5\) & 136255 & 198998 & 62.375\% \\ \(5\) & 89627 & 288625 & 90.468\% \\ \(15\) & 29891 & 318516 & 99.837\% \\ \(25\) & 417 & 318933 & 99.968\% \\ \(35\) & 61 & 318994 & 99.987\% \\ \(45\) & 12 & 319006 & 99.991\% \\ \(55\) & 14 & 319020 & 99.995\% \\ \(65\) & 6 & 319026 & 99.997\% \\ \(75\) & 5 & 319031 & 99.999\% \\ \(85\) & 5 & 319036 & 100\% \\ \hline \hline \end{tabular}
\end{table}
Table 3: Data Analysis Results.  
According to the research needs, the selected land-use samples were building land, water region, agriculture, forest land, and bare land. After the completion of different types of land-use selection samples, the sample accuracy was checked, and the mixed matrix of classification templates was calculated in order to ensure that dispersion between different types of samples was maintained at more than 1.9. The separation of analysis types was checked in n-dimensional visualization, and sample points were modified. The difference result distribution was shown in Figure 9.  
Through the vector results, the building area in the south of the Erhai region was calculated. As shown in Table 5, the building area of the region showed a steady increasing trend. From February 2015 to December 2017, the building area increased by 4.28 ha annually. However, from December 2017 to November 2018, the building area increased by 2.14 ha, which indicated that the rate of urban expansion had slowed down. It could explain that the ground deformation rate in the southern Erhai region decreased from 2017 to 2018.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Year** & **Total** & **Urban** & **Rural** & **Building** & **Urbanization** \\  & **Population** & **Population** & **Population** & **Area/ha** & **Rate** \\ \hline
2017 & 3,584,000 & 1,637,171 & 1,946,828 & 83,600 & 45.68\% \\
2016 & 3,563,000 & 1,569,000 & 1,994,000 & 82,500 & 44.04\% \\
2015 & 3,544,000 & 1,495,922 & 2,048,077 & 80,910 & 42.21\% \\
2014 & 3,527,000 & 1,429,000 & 2,098,000 & 78,693 & 40.52\% \\ \hline \hline \end{tabular}
\end{table}
Table 4: Urbanization Data of Dali City.  
Figure 9: Classification Results of the Building Area in the South of Erhai Region. Note that (**a**) to (**e**) represent the results of the building area of images taken on 02/03/2015/, 01/05/2016, 12/06/2016, 12/25/2017, and 11/26/2018, respectively (MM/DD/YYYY).