@hackage hgeometry0.5.0.0
Geometric Algorithms, Data structures, and Data types.
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BSD-3-Clause
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frank@fstaals.net
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Dependencies (23)
- Frames >=0.1.0.0
- base >=4.8 && <5
- bifunctors >=4.1
- bytestring >=0.10
- containers >=0.5.5
- data-clist >=0.0.7.2 Show all…
Dependents (6)
@hackage/hgeometry-svg, @hackage/acme-everything, @hackage/aviation-cessna172-diagrams, @hackage/hipe, @hackage/reanimate, @hackage/hgeometry-ipe
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HGeometry
HGeometry provides some basic geometry types, and geometric algorithms and data structures for them. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures with good asymptotic running time guarantees. Design choices showing these aspects are for example:
- we provide a data type
Point d rparameterized by a type-level natural numberd, representing d-dimensional points (in all cases our type parameterrrepresents the (numeric) type for the (real)-numbers):
newtype Point (d :: Nat) (r :: *) = Point { toVec :: Vector d r }
- the vertices of a
PolyLine d p rare stored in aData.Seq2which enforces that a polyline is a proper polyline, and thus has at least two vertices.
Please note that aspect (2), implementing good algorithms, is much work in progress. HGeometry currently has only very basic types, and implements only a few algorithms:
- two (optimal) \(O(n \log n)\) time algorithms for convex hull in \(\mathbb{R}^2\): the typical Graham scan, and a divide and conqueror algorithm,
- an \(O(n)\) expected time algorithm for smallest enclosing disk in \(\mathbb{R}^\)2,
- the well-known Douglas Peucker polyline line simplification algorithm,
- an \(O(n \log n)\) time algorithm for computing the Delaunay triangulation (using divide and conqueror).
- an \(O(n \log n)\) time algorithm for computing the Euclidean Minimum Spanning Tree (EMST), based on computing the Delaunay Triangulation.
A Note on the Ext (:+) data type
In many applications we do not just have geometric data, e.g. Point d rs or
Polygon rs, but instead, these types have some additional properties, like a
color, size, thickness, elevation, or whatever. Hence, we would like that our
library provides functions that also allow us to work with ColoredPolygon rs
etc. The typical Haskell approach would be to construct type-classes such as
PolygonLike and define functions that work with any type that is
PolygonLike. However, geometric algorithms are often hard enough by
themselves, and thus we would like all the help that the type-system/compiler
can give us. Hence, we choose to work with concrete types.
To still allow for some extensibility our types will use the Ext (:+) type. For
example, our Polygon data type, has an extra type parameter p that allows
the vertices of the polygon to cary some extra information of type p (for
example a color, a size, or whatever).
data Polygon (t :: PolygonType) p r where
SimplePolygon :: C.CList (Point 2 r :+ p) -> Polygon Simple p r
MultiPolygon :: C.CList (Point 2 r :+ p) -> [Polygon Simple p r] -> Polygon Multi p r
In all places this extra data is accessable by the (:+) type in Data.Ext, which is essentially just a pair.
Reading and Writing Ipe files
Apart from geometric types, HGeometry provides some interface for reading and writing Ipe (http://ipe.otfried.org). However, this is all very work in progress. Hence, the API is experimental and may change at any time!