In this lab I worked with both TIN and DEM models to explore how elevation data can be represented and how different models affect contour generation. Building the TIN showed me how point distribution drives the structure of the surface, since the contours directly followed the triangular network. The DEM, on the other hand, interpolated values across a grid, which produced smoother contours and a more realistic picture of the terrain. When I compared the two, the biggest differences appeared on steep ridges where the TIN looked more angular, while in flatter areas the two models were almost identical.
This exercise made it clear that TINs are useful for understanding how raw data points influence terrain modeling, but DEMs are better for producing continuous and natural representations of elevation. Overall, comparing the two helped me understand the trade-offs between point-based and raster-based elevation models
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