Exporting and visualization
After completing the triangulation and mesh refinement process, the resulting meshes are exported and visualized to evaluate the accuracy and quality of the generated terrain models. This section presents the visualizations of the final meshes, which were created using both lambda functions and GPS data.
The meshes were exported in the MSH format, which is compatible with Gmsh, a popular open-source finite element mesh generator with a built-in CAD engine and post-processor, making it ideal for visualizing and assessing the quality of the generated meshes. The following images illustrate the mesh structures after the application of contour constraints and re-triangulation.
1. First lambda function
The first set of images shows the mesh generated using \(z(x, y) = \sqrt{r^2 - (x - x_0)^2 - (y - y_0)^2}\) which produces a half-sphere:


2. Second lambda function
The next set of images depicts the mesh generated using \(z(x, y) = sin(x) + cos(y)\), which creates a wave-like terrain surface:


3. GPS data
This set of images presents the mesh generated from GPS data corresponding to the tile with coordinates (x, y) = (33809, 23527) at zoom level 16, which includes the location at longitude 5.7232 and latitude 45.1835, located in Grenoble, France:n the mesh.


Here’s the visualization of the mesh generated from GPS data corresponding to the same location, but with a zoom of level 15, which provides a broader view of the terrain but with lower elevation detail.

Here’s the result for a tile in Strasbourg City Center, France (latitude: 48.582380 and longitude 7.748242 at zoom 16) which corresponds to a very flat area:

Here at zoom 15

4. Conclusion
These visualizations confirm the effectiveness of the methods used for mesh generation, contour constraint application, and triangulation refinement, resulting in high-quality, accurate terrain meshes suitable for further simulation or analysis.
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