Dendrite growth using d3 quadchart nearest neighbor search. A point is chosen at random and joined to its nearest neighbor. Each node keeps track of the node to which it was adjoined via a parent reference. As each node is attached the child count of each parent in the chain is incremented. The child count is used directly to determine rendering width of lines between nodes.
Last active
August 29, 2015 14:03
-
-
Save d2fn/f5e441a7e818051536e3 to your computer and use it in GitHub Desktop.
Dendrite Growth with Cracks
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
body { | |
background: rgb(0, 0, 0); | |
} | |
</style> | |
<body> | |
<script src="http://d3js.org/d3.v3.min.js"></script> | |
<script> | |
var width = 960, | |
height = 500, | |
maxRadius = 2; | |
var makePoint = pointBuilder(maxRadius, width, height); | |
var svg = d3.select("body") | |
.append("svg") | |
.attr({width: width, height: height}); | |
var data = [ | |
{ | |
x: width/2, | |
y: height/2, | |
r: 3, | |
children: 0 | |
} | |
]; | |
var n = 9000; | |
var sample = findClosest(data, width, height, n); | |
var circles = svg.append("g"); | |
var lines = svg.append("g"); | |
var strokeWeightScale = d3.scale.sqrt() | |
.domain([0, n]) | |
.range([0, 3]); | |
d3.timer(function() { | |
for(var i = 0; i < 10; i++) { | |
var randomPoint = makePoint(); | |
var p = sample(randomPoint); | |
if(!p) return true; | |
data.push(p); | |
} | |
var s = lines.selectAll("line").data(data); | |
s.exit().remove(); | |
s.enter() | |
.append("line") | |
.data(data) | |
.enter() | |
.append("line") | |
.attr("stroke", "rgba(255, 255, 255, 1)") | |
.attr({ | |
x1: function(d, i) { | |
if(d.parent) { | |
return d.parent.x; | |
} | |
else { | |
return d.x; | |
} | |
}, | |
y1: function(d, i) { | |
if(d.parent) { | |
return d.parent.y; | |
} | |
else { | |
return d.y; | |
} | |
}, | |
x2: function(d, i) { | |
return d.x; | |
}, | |
y2: function(d, i) { | |
return d.y; | |
} | |
}) | |
.attr("stroke-width", function(d, i) { | |
return strokeWeightScale(d.children) + "px"; | |
}); | |
}); | |
function incrementChildCounts(node) { | |
node.children++; | |
if(node.parent) { | |
incrementChildCounts(node.parent); | |
} | |
else { | |
return; | |
} | |
} | |
function findClosest(seedPoints, width, height, maxSamples) { | |
var samples = 0; | |
var quadtree = d3.geom.quadtree() | |
.x(function(d, i) { return d.x; }) | |
.y(function(d, i) { return d.y; }) | |
.extent([[-1, -1], [width+1, height+1]])(seedPoints); | |
var points = seedPoints; | |
return function(input) { | |
if(++samples > maxSamples) return; | |
var nearest, minDistance = Math.sqrt(width*width + height*height); | |
quadtree.visit(function(node, x1, y1, x2, y2) { | |
var p = node.point; | |
if(p) { | |
var d = dist(p.x, p.y, input.x, input.y); | |
if(d < minDistance) { | |
nearest = p; | |
minDistance = d; | |
} | |
else { | |
return true; | |
} | |
} | |
}); | |
incrementChildCounts(nearest); | |
var dx = input.x - nearest.x; | |
var dy = input.y - nearest.y; | |
var t = Math.atan2(dy, dx); | |
var next = { | |
x: nearest.x + (input.r + nearest.r) * Math.cos(t), | |
y: nearest.y + (input.r + nearest.r) * Math.sin(t), | |
r: input.r, | |
children: 0, | |
parent: nearest | |
} | |
quadtree.add(next); | |
return next; | |
}; | |
} | |
function pointBuilder(maxRadius, width, height) { | |
return function() { | |
return { | |
x: Math.random() * width, | |
y: Math.random() * height, | |
r: 1 + Math.random() * (maxRadius-1) | |
} | |
}; | |
} | |
// calculate euclidean distance of two points with coordinates: a(ax, ay) and b(bx, by) | |
function dist(ax, ay, bx, by){ | |
return Math.sqrt(Math.pow(ax-bx, 2) + Math.pow(ay-by, 2)); | |
} | |
</script> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment