A Julia implementation of the Python package scikit-spatial.
This package provides spatial types and computations between them.
The following types are provided:
- Line
- Plane
- Circle
- Sphere
Most of the computations fall into the following categories:
- Measurement
- Comparison
- Projection
- Intersection
- Transformation
A line has a point and direction vector. These are stored as static arrays from StaticArrays.jl.
julia> using ScikitSpatial
julia> line = Line([2, 3], [1, 2])
Line{2, Int64}([2, 3], [1, 2])
julia> line.point
2-element StaticArrays.SVector{2, Int64} with indices SOneTo(2):
2
3
julia> line.vector
2-element StaticArrays.SVector{2, Int64} with indices SOneTo(2):
1
2
The property direction can also be used to access the direction vector.
julia> line.direction
2-element StaticArrays.SVector{2, Int64} with indices SOneTo(2):
1
2
Measure the cosine similarity between two vectors.
julia> round(cosine_similarity([1, 0], [1, 1]), digits=3)
0.707
Project a vector onto a vector.
julia> project([5, 3], [1, 1])
2-element Base.Vector{Float64}:
4.0
4.0
Project a point onto a line.
julia> project([8, -2], line)
2-element StaticArrays.SVector{2, Float64} with indices SOneTo(2):
1.2
1.4