## 3 Results and Discussion
### Evaluation of Similarities Among Classification Methods
#### 3.3.4 Similarity Evaluation Based on GI  
Based on the GI, the overall accuracy with EI was 65.52%, and the kappa coefficient was 0.47, indicating the highest similarity among the compared classification methods. However, the reclassification accuracy of the SS was very low, with an EI of 5.5%, but it was 100.0% for both NB and Qu. The average reclassification accuracy for the same grade between the different classification methods was the highest, at 69.8%, between GI and NB (Table 8).  
When evaluating the similarity between the classification methods by comparing the overall accuracy and kappa coefficient, NB and EI showed the highest similarity. However, because EI reclassified the SS and US at relatively low rates, it is difficult to conclude whether its similarity is the highest. Therefore, considering the overall accuracy, the kappa coefficient, peculiarities of EI reclassification results, and the average value of the reclassification accuracy for the same grade between different classification methods, NB and GI were judged to be the classification methods that provided the most similar results in the analysis of GE cultivation suitability. Meanwhile, in the landslide susceptibility study,  
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{\begin{tabular}{c} **Classification** \\ **Method** \\ \end{tabular} } & \multirow{2}{*}{**Grade**} & \multicolumn{4}{c}{**EI**} & \multirow{2}{*}{\
\begin{tabular}{c} **Overall** \\ **Accuracy (\%)** \\ \end{tabular} } & \multirow{2}{*}{
\begin{tabular}{c} **Kappa** \\ **Coefficient** \\ \end{tabular} } \\ \cline{3-8}  & & SS & & & & & & & \\ \hline \multirow{8}{*}{NB\({}^{\text{z}}\)} & SS & 5872 & 160,846 & 0 & 0 & 166,718 & \multirow{8}{*}{77.40} & \multirow{8}{*}{0.57} \\  & PSS & 0 & 286,376 & 127,084 & 0 & 413,460 & & \\  & PUS & 0 & 0 & 856,126 & 0 & 856,126 & \multirow{8}{*}{0.01} \\  & US & 0 & 0 & 53,595 & 21,515 & 75,110 & & \\  & Total & (100.0) x & 447,222 & 1,036,805 & 21,515 & 1,511,414 & & \\ \hline \multirow{8}{*}{Qu} & SS & 5872 & 447,222 & 0 & 0 & 453,094 & \multirow{8}{*}{0.01} \\  & PSS & 0 & 0 & 413,902 & 0 & 413,902 & & \\ \cline{1-1}  & PUS & 0 & 0 & 356,212 & 0 & 356,212 & \multirow{8}{*}{0.01} \\ \cline{1-1}  & US & 0 & 0 & 266,691 & 21,515 & 288,206 & & \\ \cline{1-1}  & Total & 5872 & 447,222 & 1,036,805 & 21,515 & 1,511,414 & & \\ \cline{1-1}  & PSS & (100.0) & (0.0) & (34.4) & (100.0) & (58.6) & & \\ \hline \multirow{8}{*}{GI} & SS & 5872 & 101,297 & 0 & 0 & 107,169 & \multirow{8}{*}{65.52} \\  & PSS & 0 & 345,925 & 0 & 0 & 345,925 & \\ \cline{1-1}  & PUS & 0 & 0 & 616,969 & 0 & 616,969 & \\ \cline{1-1}  & US & 0 & 0 & 419,836 & 21,515 & 441,351 & \multirow{8}{*}{65.52} \\ \cline{1-1}  & Total & 5872 & 447,222 & 1,036,805 & 21,515 & 1,511,414 & & \\ \cline{1-1}  & Total & (100.0) & (77.3) & (59.5) & (100.0) & (84.2) & \\ \hline \hline \end{tabular}  
* NB = Natural breaks (Jenks), Qu = Quantile, EI = Equal interval, and GI = Geometric interval. \({}^{\text{y}}\) SS = Suitable site, PSS = Possibly suitable site, PUS = Probably unsuitable site, and US = Unsuitable site. \({}^{\text{x}}\) Parentheses indicate the percentage (%) of the number of pixels in the grade of the comparative classification method relative to the number of pixels in the grade of the reference classification method. \({}^{\text{y}}\) Parentheses indicate the arithmetic mean value (%) of reclassification accuracy for the same grade between the different classification methods.  
\end{table}
Table 7: Overall accuracy and kappa coefficient for the reclassification methods based on EI using pixel counts.  
NB and Qu exhibited very similar spatial patterns [55], unlike the reclassification results for the exploration of suitable cultivation sites for GE in this study.