# [−][src]Crate startin

# startin

A Delaunay triangulator where the input are 2.5D points, the DT is computed in 2D but the elevation of the vertices are kept. This is used mostly for the modelling of terrains.

The construction algorithm used is an incremental insertion based on flips, and the data structure is a cheap implementation of the star-based structure defined in Blandford et al. (2003), cheap because the link of each vertex is stored a simple array (`Vec`

) and not in an optimised blob like they did.
It results in a pretty fast library (comparison will come at some point), but it uses more space than the optimised one.

The deletion of a vertex is also possible. The algorithm implemented is a modification of the one of Mostafavi, Gold, and Dakowicz (2003). The ears are filled by flipping, so it's in theory more robust. I have also extended the algorithm to allow the deletion of vertices on the boundary of the convex hull. The algorithm is sub-optimal, but in practice the number of neighbours of a given vertex in a DT is only 6, so it doesn't really matter.

Robust arithmetic for the geometric predicates are used (Shewchuk's predicates, well its Rust port), so the library is robust and shouldn't crash (touch wood).

I made this in Rust because I wanted to learn Rust.

But if you prefer Python, I made bindings (very beta): https://github.com/hugoledoux/startin_python/

# Usage

extern crate startin; fn main() { let mut pts: Vec<Vec<f64>> = Vec::new(); pts.push(vec![20.0, 30.0, 2.0]); pts.push(vec![120.0, 33.0, 12.5]); pts.push(vec![124.0, 222.0, 7.65]); pts.push(vec![20.0, 133.0, 21.0]); pts.push(vec![60.0, 60.0, 33.0]); let mut dt = startin::Triangulation::new(); dt.insert(&pts); println!("*****"); println!("Number of points in DT: {}", dt.number_of_vertices()); println!("Number of triangles in DT: {}", dt.number_of_triangles()); //-- print all the vertices for (i, each) in dt.all_vertices().iter().enumerate() { // skip the first one, the infinite vertex if i > 0 { println!("#{}: ({:.3}, {:.3}, {:.3})", i, each[0], each[1], each[2]); } } //-- insert a new vertex let re = dt.insert_one_pt(22.2, 33.3, 4.4); match re { Ok(_v) => println!("Inserted new point"), Err(v) => println!("Duplicate of vertex #{}, not inserted", v), } //-- remove it let re = dt.remove(6); if re.is_err() == true { println!("!!! Deletion error: {:?}", re.unwrap_err()); } else { println!("Deleted vertex"); } //-- get the convex hull let ch = dt.convex_hull(); println!("Convex hull: {:?}", ch); //-- fetch triangle containing (x, y) let re = dt.locate(50.0, 50.0); if re.is_some() { let t = re.unwrap(); println!("The triangle is {}", t); assert!(dt.is_triangle(&t)); } else { println!("Outside convex hull"); } //-- some stats println!("Number of points in DT: {}", dt.number_of_vertices()); println!("Number of triangles in DT: {}", dt.number_of_triangles()); }

## Structs

Link | |

Star | A triangulation is a collection of Stars, each Star has its (x,y,z) and a Link (an array of adjacent vertices, ordered CCW) |

Triangle | A Triangle is a triplet of indices |

Triangulation |