## 3 Dataset Analysis
### Analysis of Literature
#### 3.4.4 Mixed Analysis  
In Figure 17, a three-field plot has been realized, connecting countries with authors and sources. This type of visualization provides insight into international research relationships and collaborations, as well as the publication sources preferred by researchers from different countries. Spain, the United States of America, Ireland, and Brazil are linked to journals such as _Remote Sensing_, _Ecological Informatics_, _Geomatics_, _Natural Hazards and Risk_, and _Mathematical Problems in Engineering_. This indicates that researchers from these countries publish frequently in these journals, highlighting a common orientation towards certain research areas such as ecological monitoring, natural hazards, and applied mathematical problems in engineering. The authors mentioned in the center of the plot are nodal points linking different countries to their publication sources. For example, [PERSON] is linked to Vietnam as well as Romania, India, and Korea, indicating the international \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Bigrams in Abstracts** & **Occurrences** & **Bigrams in Titles** & **Occurrences** \\ \hline Machine learning & 173 & Machine learning & 58 \\ Artificial intelligence & 96 & Artificial intelligence & 24 \\ Regional economic & 86 & Regional economic & 16 \\ Local authorities & 81 & Deep learning & 15 \\ Neural network & 74 & Learning approach & 12 \\ Economic & 65 & Neural network & 9 \\ development & 52 & Landslide & 8 \\ Deep learning & 50 & Learning algorithms & 8 \\ Regional economy & 41 & Remote sensing & 8 \\ Regional & 38 & Economic & 7 \\ development & \multicolumn{1}{c}{} & & \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Top 10 most frequent bigrams in abstracts and titles. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Trigrams in Abstracts** & **Occurrences** & **Trigrams in Titles** & **Occurrences** \\ \hline Regional economic & 26 & Machine learning & 7 \\ development & \multicolumn{1}{c}{} & & \\ Machine learning & 22 & Machine learning & 7 \\ algorithms & \multicolumn{1}{c}{} & & approach & 7 \\ Support vector & \multicolumn{1}{c}{} & & \\ machine & \multicolumn{1}{c}{} & & methods & 5 \\ Random forest RF & \multicolumn{1}{c}{} & & \\ \multirow{2}{*}{Artificial intelligence} & \multirow{2}{*}{17} & \multirow{2}{*}{Artificial intelligence} & \multirow{2}{*}{3} \\ AI & \multicolumn{1}{c}{} & & \\ Artificial neural & \multicolumn{1}{c}{} & & \\ network & \multicolumn{1}{c}{} & & networks \\ Machine learning & \multicolumn{1}{c}{} & & Deep learning & 3 \\ model & \multicolumn{1}{c}{} & & approach & 3 \\ Vector machine SVM & \multicolumn{1}{c}{} & & Ensemble machine & 3 \\  & \multicolumn{1}{c}{} & & learning & 3 \\ Convolutional neural & \multicolumn{1}{c}{} & & & \\ network & \multicolumn{1}{c}{} & & mapping & \\ Machine learning & \multicolumn{1}{c}{} & & Forest fire danger & 3 \\ models & \multicolumn{1}{c}{} & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Top 10 most frequent trigrams in abstracts and titles. collaborations or academic mobility of the author. Countries such as Vietnam, Portugal, China, and Romania are also represented in the plot, suggesting that researchers from these countries contribute to articles published in relevant international journals. This emphasizes the importance of their contributions to the global research landscape and may reflect international collaborations or academic influences in these regions. This three-field plot clearly shows the global interconnectivity in research, highlighting how different nations contribute to and rely on scientific journals. Additionally, visualization of this diagram can highlight influential authors who play important roles in facilitating these international collaborations. In Figure 18, we realized a three-field plot connecting affiliations, authors, and keywords. This type of visualization is useful to understand the links between research institutions, individual researchers, and the research topics addressed in the studies.