title: Using slippy-map tiles for large png data images
body: <p>I am using large PNGs (100 Megapixels) as data that I would like to be able to pan/zoom within the browser with javascript, and to convert the pixel data into raster data arrays.</p>
  
  <p>We have a "dataset" library which manage arrays with width/height and several methods for image-to-data conversion, sampling, resizing, and convolution.  This data library already exists, but not adapted to tiles.
  <a href="https://github.com/backspaces/agentscript/blob/master/extras/data.coffee" rel="nofollow">https://github.com/backspaces/agentscript/blob/master/extras/data.coffee</a></p>
  
  <p>But the images we use are not GIS data, they're things like huge seismograph trace images, images with 24 traces of a pen on a rotating cylinder. And other large data sets we need to analyze, and would like the pan/zoom, level-of-detail features of slippy-maps.</p>
  
  <p>Are there slippy-map (leaflet and others) approaches for non-GIS data?  I.e. I'd like to view/analyze data much the same as GIS does, but without the GIS semantics and assumptions.</p>
  
  <p>I can build the 256x256 tiles using JavaScript, canvas, and dataurls.  But haven't found any existing project that uses generalized data images, not GIS, in slippy-maps.</p>
  
  <p>What approach could I take to integrate non-GIS, large datasets into the slippy-map world?  Any projects out there for doing this?</p>