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A Kisrhombille Tessellation Based Geometry and a New Type of Fractal

A rendering of one instance of one variety of the fractal.

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The Kisrhombille Tessellation

This is the kisrhombille tessellation.

It is a hexagon tessellation with each hexagon split into 12 triangles.

A hexagon	Split into 12 triangles

This is the triangle.

Unit Triangle
F length=1 G length=√3 H length=2 P4 angle=π/2, connections=4 P6 angle=π/3, connections=6 P12 angle=π/6, connections=12

The intervals of F, G and H are referred to as fish, goat and hawk, respectively. fish is our unit interval. All the other intervals in this coordinate system derive from it. goat = fish $\times$ √3 hawk = fish $\times$ 2

##KGrid : A Kisrhombille Tessellation Based Geometry Building System

KGrid is a geometry system (TODO game? formal system?...). Within it we build shapes and such. It has a method for addressing points and a rule governing how we build.

###Addressing Points

In KGrid we address the points where the corners of the triangles touch. That is to say, where the lines intersect. I.e. the black dots.

We address a point using four integers (1). (ant,bat,cat,dog)

The first three integers (ant,bat,cat) address a hexagon.

The fourth integer (dog) addresses a point within a five-sided polygonal figure (the yellow things) based on that hexagon.

Put them together and that's our coordinate system. It's discrete.

###Axes, Directions and the Geometry Building Rule

In KGrid we have 6 axes and 12 directions.

When we define shapes within KGrid we align their sides with the axes. That's the building rule. Just as if we were building the shapes out of unit triangle shaped tiles (see The Kisrhombille Tessellation, above).

##Object Classes

###KPoint

class KPoint{
  ant
  bat
  cat
  dog
}

3 examples of KPoint

A KPoint is a point in the KGrid. ant, bat, cat and dog are integers. Values for ant, bat and cat are in range [minint,maxint], though some combinations of values are invalid. Value for dog is in range [0,5].

###KGrid

class KGrid{
  origin
  north
  fish
  twist
}

2 examples of KGrid

A KGrid is an instance of our coordinate system defined in terms of the plane. It shares its name with the geometry system that it implements. origin is a 2d point. It specifies the location of KPoint(0,0,0,0). north is a floating point value describing a direction. It's the direction from KPoint(0,0,0,0) to KPoint(0,0,0,2). fish is a floating point value. It is our unit interval. The shortest side of our unit triangle. twist is a value denoting chirality. Clockwise or counterclockwise. Probably boolean. It gives us the direction of east and west relative to north. It's also the direction that we go when traversing the perimenter of that hexagon-based figure that we use for dog (see above).

###KSeg

KSeg{
  p0
  p1
}

A KSeg is a line segment in a KGrid. p0 and p1 are KPoints. Two points define a line segment. All line segments in our system align with the axes of the system, viz the points of a KSeg are always coaxial. See above for details on axes.

###KPolygon

KPolygon{
  points
}

AKPolygon is a polygon in a KGrid. points is a list of 3..n KPoints. Each adjacent pair of points defines a KSeg. Thus, as is the case with KSegs, a KPolygon is aligned with the axes of our coordinate system. See above for details on axes.

Nesting Geometry

Recall that we define a KGrid using 4 params : origin, forward, fish and twist (see above).

We can use a KPolygon to get those params. We can derive origin from V0, north from dir(V0,V1), fish from dis(V0,V1) and twist from the chirality of the point sequence. (2)

We can derive these params from a KPolygon.

And then we can define a new KPolygon in terms of that KGrid.

And then, within that new grid, we can define another polygon, and so on.

We can also add a scaling parameter, density, an integer, to control the denisity of the new KGrid (3)

##A Vector Fractal Based on Nesting KGrid Geometry

I'm naming this fractal Greene Forsythia, after myself and a bush in my yard.

FOOTNOTES

(1) Yes we could do it with 3 integers (2 for the hexagon and 1 for the figure) but right now we're doing it with 4. Going to 3 would mean rewriting a bunch of code.

(2) Details of fish derivation. We derive fish by getting the length of (v0,v1) in terms of fish (by adding up the segs) then divide the real distance from v0 to v1 by that to get fish.

(3) For density control we divide fish by the density param.