This tool creates a vector triangular irregular network (TIN) for a set of LiDAR points (`input`) using a 2D Delaunay triangulation algorithm. LiDAR points may be excluded from the triangulation operation based on a number of criteria, include the point return number (`returns`), point classification value (`exclude_cls`), or a minimum (`minz`) or maximum (`maxz`) elevation.

For vector points, use the construct_vector_tin tool instead.

## See Also

construct_vector_tin

## Function Signature

`def lidar_construct_vector_tin(self, input_lidar: Optional[Lidar], returns_included: str = "all", excluded_classes: List[int] = None, min_elev: float = float('-inf'), max_elev: float = float('inf'), max_triangle_edge_length: float = float('inf')) -> Vector: ...`

## Project Links

WbW Homepage User Manual Support WbW