## 3 Proposed Procedure
### Vector-Based 3D Object Generation Procedure
#### 3.1.1 Two-Dimensional to Three-Dimensional Spatial Data Collection  
Shapefile format 2D spatial information data serve as the primary source for this study, shown in Tables 2-5, encompassing urban elements such as buildings, roads, and administrative districts. These data provide detailed attributes including object boundaries, areas, and types, forming the foundation for 3D object generation. Additionally, high-resolution DEM data are utilized for assigning Z-values (elevation) to 3D objects.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**No.** & **Column Name** & **Type** & **Byte** \\ \hline
1 & BUL\_MAN\_NO(PK) & NUMBER & 7 \\
2 & SIG\_CD (PK) & VARCHAR2 & 5 \\
3 & RN\_CD & VARCHAR2 & 7 \\
4 & RDS\_MAN\_NO & NUMBER & 12 \\
5 & BSI\_INT\_SN & NUMBER & 10 \\
6 & EQB\_NAM\_SN & VARCHAR2 & 10 \\
7 & BULD\_SE\_CD & NUMBER & 1 \\
8 & BULD\_MNNM & NUMBER & 5 \\
9 & BULD\_ENG\_NM & VARCHAR2 & 5 \\
10 & BULD\_NM\_DC & VARCHAR2 & 100 \\
11 & BDTYP\_CD & VARCHAR2 & 5 \\
12 & BULD\_DPN\_SE & VARCHAR2 & 1 \\
13 & POS\_BUL\_NM & VARCHAR2 & 40 \\
14 & EMC\_CD & VARCHAR2 & 3 \\
15 & GRO\_FLO\_CO & NUMBER & 3 \\
16 & UND\_FLO\_CO & NUMBER & 3 \\ \hline \hline \end{tabular}
\end{table}
Table 2: Building Data Information.  
Figure 1: Vector-based 3D object generation flowchart.  
The tabular formats, as shown in the tables, are not arbitrary but reflect standardized spatial data schemas defined by national or municipal geospatial authorities in Korea. These schemas ensure consistency, interoperability, and ease of parsing when converting 2D data into 3D object models.  
The above table represents the building layer, containing detailed attributes such as unique building identifiers (BULMANNOSIGCD), physical characteristics (GROFLOCO, UNDFLOCO), and semantic information (BULDNMDC, BDTYPCD). These attributes are used not only to classify and extrude buildings in 3D but also to assign texture and height data.  
The above table shows the road data schema, essential for establishing road networks and relationships between buildings and streets. Attributes like ROADBT (road breadth) and ROADLT (length) are utilized in geometric construction and rendering of road structures.  
The above table outlines administrative districts, enabling spatial filtering and analysis based on regions such as neighborhoods or municipalities, especially important in urban modeling and jurisdictional zoning.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**No.** & **Column Name** & **Type** & **Byte** \\ \hline
1 & EMDCD (PK) & VARCHAR2 & 10 \\
2 & EMDENGNM & VARCHAR2 & 40 \\ \hline \hline \end{tabular}
\end{table}
Table 4: Administrative District Information.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**No.** & **Column Name** & **Type** & **Byte** \\ \hline
1 & SIGCD (PK) & VARCHAR2 & 5 \\
2 & RDSMANNO (PK) & NUMBER & 12 \\
3 & RN & VARCHAR2 & 80 \\
4 & RNCD & VARCHAR2 & 7 \\
5 & ENGREN & VARCHAR2 & 80 \\
6 & NTFCCD & VARCHAR2 & 8 \\
7 & WDRRD  
The above table defines the Digital Elevation Model (DEM) metadata. Parameters such as spatial extent (X_Min, Y_Max) and resolution (Pixel_Width, Pixel_Height) are critical for assigning Z-values (elevation) to flat 2D geometries, effectively converting them into 3D models with topographic realism.