## 4 Datasets
### ThaiNet Dataset
#### 4.2.2 Overview of the ThaiNet Dataset  
The steps for generating a sample transportation network are applied to Thailand's regions, which include 77 provinces and 928 districts. As a result, ThaiNet consists of two main networks--one for the provinces and another for the districts. Each dataset will include:  
* A list of regions along with their central locations,
* Pairs of adjacent regions, and
* An adjacency matrix representing the boundary connections between regions. Province Network in ThaiNet  
Thailand comprises 77 provinces, for which data were collected using a combination of the described methodology and manual efforts. The collected data include:  
* A compiled list of all 77 provinces of Thailand, along with the precise locations of their respective Muang District Offices. These offices serve as the administrative hubs for their provinces. Notably, for Bangkok, the Democracy Monument serves as the representative location, as detailed in Table 3.
* An inventory of a total of 358 paired adjacent provinces, comprising 179 pairs of non-switched order pairs, which provides insights into the distances between them. This dataset highlights the geographical proximity and connectivity among the provinces. Detailed information on adjacent provinces is provided in Table 4.
* An Adjacency Matrix is tailored to reflect the spatial relationships among the 77 provinces, as shown in Table 5. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Order** & **Province** & **Latitude** & **Longitude** \\ \hline
0 & Bangkok & 13.765171 & 100.539168 \\
1 & Samut Prakan & 13.600400 & 100.597082 \\ \(\vdots\) & \(\vdots\) & \(\vdots\) & \(\vdots\) \\
76 & Narathiwat & 6.425175 & 101.823515 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: List of 77 provinces with corresponding coordinates of their central location. District Network ThaiNet  
Similarly to Provinces data, we generate dataset for 928 Thailand districts. The following data have been collected for each district:  
* A list of all districts, along with the locations of their District Offices. Each district is referenced by a tuple consisting of the district name and its respective province (i.e., (district, province)). The location used to represent each district is the main office within that district. These data will be collected in the format presented in Table 6.
* A list of 6192 pairs of adjacent districts (3096 pairs, not counting reverse originals and destinations) will be generated in the format of Table 7.
* An Adjacency Matrix captures the spatial dimensions and relationships among the 928 districts, as presented in Table 8. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Order** & **District Tuple** & **Latitude** & **Longitude** \\ \hline
0 & (Phra Nakhon, Bangkok) & 13.765096 & 100.499357 \\
1 & (Dusit, Bangkok) & 13.77/345 & 100.520936 \\ \(\vdots\) & \(\vdots\) & \(\vdots\) & \(\vdots\) \\
927 & (Cho-airong, Narathiwat) & 6.225381 & 101.811457 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: List of districts in Thailand along with the geographic coordinates (latitude and longitude) of their central locations. \begin{table}
\begin{tabular}{c c c} \hline \hline Order & **Origin** & **Destination** \\ \hline
0 & Bangkok & Samut Prakan \\
1 & Bangkok & Nonthaburi \\ \(\vdots\) & \(\vdots\) & \(\vdots\) \\
357 & Narathiwat & Yala \\ \hline \hline \end{tabular}
\end{table} 
Table 4: List of 357 adjacent province pairs. \begin{table}
\begin{tabular}{c c c} \hline \hline Order & **Origin** & **Destination** \\ \hline
0 & (Mae Sariang, Mae Hong Son) & (Hot, Chiang Mai) \\
1 & (Mae Sariang, Mae Hong Son) & (Omkoi, Chiang Mai) \\ \(\vdots\) & \(\vdots\) & \(\vdots\) \\
6191 & (Wang Sombun, Sa Kaeo) & (Soi Dao, Chanthaburi) \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Lists pairs of adjacent districts, detailing each origin-destination relationship to showcase the direct geographic or administrative connectivity between districts.