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

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