## 3 Results
### Spatial and Statistical Analysis
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & \multicolumn{2}{c}{**If the Effects of Factors of 2 nd**} & \multicolumn{2}{c}{**If the Effects of Factors of 2 nd**} & \multicolumn{2}{c}{**If the Effects of Factors of 2 nd**} \\
**Elevation of** & \multicolumn{2}{c}{**Half of the 19 th Century–1 st Half**} & \multicolumn{2}{c}{**Half of the 19 th Century–2 nd Half**} & \multicolumn{2}{c}{**Half of the 19 th Century–1 st Half**} \\
**the** & \multicolumn{2}{c}{**of the 20 th Century Were**} & \multicolumn{2}{c}{**of the 20 th Century Were**} & \multicolumn{2}{c}{**of the 21 st Century Were**} \\
**Earth’s Surface** & \multicolumn{2}{c}{**Maintained**} & \multicolumn{2}{c}{**Maintained**} & \multicolumn{2}{c}{**Maintained**} \\ \cline{2-6} \cline{6-6}  & **r\({}_{\rm ij}\)** & \(p\)**-Value** & **r\({}_{\rm ij}\)** & \(p\)**-Value** & **r\({}_{\rm ij}\)** & \(p\)**-Value** \\ \hline
0–10 & 0.46 & \textless{}0.01 & 0.43 & \textless{}0.01 & 0.43 & \textless{}0.01 \\
10–20 & 0.57 & \textless{}0.01 & 0.58 & \textless{}0.01 & 0.50 & \textless{}0.01 \\
20–30 & 0.44 & \textless{}0.01 & 0.48 & \textless{}0.01 & 0.40 & \textless{}0.01 \\
30–40 & 0.00 & 0.01 & 0.06 & 0.02 & 0.01 & 0.02 \\
40–50 & \textless{}0.44 & 0.01 & \textless{}0.40 & 0.03 & \textless{}0.42 & 0.02 \\
50–60 & \textless{}0.72 & 0.05 & \textless{}0.72 & 0.13 & \textless{}0.73 & 0.08 \\
60–70 & \textless{}0.59 & 0.05 & \textless{}0.58 & 0.11 & \textless{}0.57 & 0.08 \\
70–80 & \textless{}0.29 & 0.02 & \textless{}0.21 & 0.04 & \textless{}0.17 & 0.02 \\
80–90 & 0.11 & 0.005 & 0.16 & 0.01 & 0.20 & 0.01 \\
90–100 & 0.22 & \textless{}0.01 & 0.21 & 0.01 & 0.22 & \textless{}0.01 \\ \hline \hline \end{tabular}
\end{table} 
Table 15: Results of correlation analysis between altitudes of land surface and changes in forest cover areas. Figure 17: Hydrographic network of Jurbarkas District. It can be assumed that the altitudes in the eastern part of Jurbarkas District did not have a significant influence on the dynamics of forest areas because wetlands and marshy places that are unattractive for agricultural activities have been there since ancient times; thus, the links of forest cover change are insignificant. Since the reclamation works of national importance were started only in the 2 nd half of the 20 th century, when there was already a legal framework regulating the use of forest resources, land drainage did not have a significant impact on the reduction in forest areas but increased the areas devoted to agricultural activities. There may be an additional factor in the western part of the district, which can be revealed by additional research. The slope of the land surface, depending on its size, makes the territory attractive/unattractive for agricultural activities; therefore, a correlation analysis of the dependence of change in forest cover areas on the land slopes was performed (Table 16). Indicators of correlation analysis:  
\(i\)--change in forest cover areas in the corresponding period, m\({}^{2}\);  
\(j\)--areas of slopes of the land surface, m\({}^{2}\). Correlation analysis revealed that there is a strong inverse relationship between the angle of 0\  
of forest areas. Larger slopes and forest area change are linked by very weak correlations. It can be assumed that the forest areas decreased in the plains quite significantly, and with an angle steeper than \(15.79^{\circ}\), the links between the change in forest areas and the angles are very weak because such territories are not favorable for agricultural activities. A map is created for the visualization of correlation links with the help of GIS: territories with a small angle (\(0^{\circ}\)-\(10.53^{\circ}\)) that have strong and medium correlations with the dynamics of forest area change are marked in green, those that have weak correlations are marked in yellow, and very weak ones in red (Figure 19). We can see that these are river banks with steep slopes, which make these areas unattractive for agricultural activities.