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.
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: ...