Fix the docs and readme

hugoledoux · Mar 11, 2024 · 52e6474 · 52e6474
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diff --git a/README.md b/README.md
@@ -11,15 +11,14 @@ A library for modelling and processing 2.5D terrains using a (2D) Delaunay trian
 The triangulation is computed in 2D, but the *z*-elevation of the vertices are kept.
 
 The underlying code is written in [Rust](https://www.rust-lang.org/) (so it's rather fast) and [robust arithmetic](https://crates.io/crates/robust) is used (so it shouldn't crash).
-
 startinpy uses the [startin Rust library](https://github.com/hugoledoux/startin) and adds several utilities and functions, for instance [NumPy](https://numpy.org/) support for input/output, exporting to several formats, and easy-of-use.
 
 startinpy allows you to:
 
   1. insert incrementally points
   2. delete vertices (useful for simplification, interpolation, and other operations)
   3. interpolate and create grids with several methods: TIN, natural neighbours, IDW, Laplace, etc.
-  4. use other useful terrain Python libraries that are also NumPy-based, eg [laszy](https://laspy.readthedocs.io), [meshio](https://github.com/nschloe/meshio)
+  4. use other useful terrain Python libraries that are also NumPy-based, eg [laspy](https://laspy.readthedocs.io), [meshio](https://github.com/nschloe/meshio)
   5. outputs the TIN to several formats: OBJ, PLY, GeoJSON, and CityJSON
   6. extra attributes (the ones from LAS/LAZ) can be stored with the vertices
 

diff --git a/docs/index.md b/docs/index.md
@@ -16,7 +16,7 @@ startinpy uses the [startin Rust library](https://github.com/hugoledoux/startin)
 1. insert incrementally points
 2. delete vertices (useful for simplification, interpolation, and other operations)
 3. interpolate and create grids with several methods: TIN, natural neighbours, IDW, Laplace, etc.
-4. use other useful terrain Python libraries that are also NumPy-based, eg [laszy](https://laspy.readthedocs.io), [meshio](https://github.com/nschloe/meshio)
+4. use other useful terrain Python libraries that are also NumPy-based, eg [laspy](https://laspy.readthedocs.io), [meshio](https://github.com/nschloe/meshio)
 5. outputs the TIN to several formats: OBJ, PLY, GeoJSON, and CityJSON
 6. [extra attributes](attributes) (the ones from LAS/LAZ) can be stored with the vertices
 :::