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+---
+title: >-
+    Visualization 1
+description: >-
+    Using clojurescript and quil to generate interesting visuals
+series: viz
+git_repo: https://github.com/mediocregopher/viz.git
+git_commit: cb3d9d871d72b4f4487d175e73f0c30041963c42
+---
+
+First I want to appologize if you've seen this already, I originally had this up
+on my normal website, but I've decided to instead consolidate all my work to my
+blog.
+
+This is the first of a series of visualization posts I intend to work on, each
+building from the previous one.
+
+<!--<script src="/assets/viz/1/js/main.js"></script>-->
+<script src="/assets/viz/1/goog/base.js"></script>
+<script src="/assets/viz/1/cljs_deps.js"></script>
+<script>goog.require("viz.core");</script>
+<p align="center"><canvas style="width:100%;" id="viz"></canvas></p>
+
+This visualization follows a few simple rules:
+
+* Any point can only be occupied by a single node. A point may be alive (filled)
+  or dead (empty).
+
+* Every tick each live point picks from 0 to N new points to spawn, where N is
+  the number of empty adjacent points to it. If it picks 0, it becomes dead.
+
+* Each line indicates the parent of a point. Lines have an arbitrary lifetime of
+  a few ticks. When a dead point's line is cleaned up so is it.
+
+The resulting behavior is somewhere between [Conway's Game of
+Life](https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life) and white noise.
+Though each point operates independently, they tend to move together in groups.
+When two groups collide head on they tend to cancel each other out, killing most
+of both. When they meet while both heading in a common direction they tend to
+peacefully merge towards that direction.
+
+Sometimes their world becomes so cluttered there's hardly room to move.
+Sometimes a major coincidence of events leads to multiple groups canceling each
+other at once, opening up the world and allowing for an explosion of new growth.
+
+Some groups spiral about a single point, sustaining themselves and defending
+from outside groups in the same movement. This doesn't last for very long.
+
+The performance of this visualization is not very optimized, and will probably
+eat up your CPU like nothing else. Most of the slowness comes from drawing the
+lines; since there's so many individual small ones it's quite cumbersome to do.