Code is here: http://jsfiddle.net/S48QX/.
I want to draw a image based on a 3D data set, for example:
var data = [
{x:1.428, y:0.500, energy:0.458},
{x:1.428, y:1.191, energy:0.616},
{x:1.428, y:1.882, energy:0.795},
{x:1.428, y:2.573, energy:0.642},
{x:1.428, y:3.264, energy:0.536},
{x:1.428, y:3.955, energy:0.498},
{x:1.428, y:4.646, energy:0.494},
{x:1.428, y:5.337, energy:0.517},
...
}
It's like scattered plot, but I need every pixel to be set, not just a bunch of color dots on the image. So, my question is how can I interpolate scattered dots with d3.js.
The generated image here is the best I can do so far, but is it possible to make it more smooth and beautiful?
I am seeking a way to generate a HEATMAP only based on partial/scattered data. I hope there is a way in d3.js that can interpolate the missing part.
(1,5) ? ? ? (5,5)
? ? ? ? ?
? ? ? ? ?
(1,2) ? ? ? (5,2)
I have one solution using svg filters. Be careful as this may not be what you want since the mathematical interpretation of this interpolation would be more 'blur'. I mostly did it as an exercise on svg filters. However 2d interpolation end up with similar results: see cubic interpolation for example (http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.interpolate.interp2d.html in python)
I used circles (you could try with rectangles) slightly overlapping and semi transparent and applied to gaussian blur on them, resulting in a 'heatmap' looking thing.
var filter = svg.append("defs").append('filter')
.attr('id', 'blur')
.append("feGaussianBlur")
.attr("stdDeviation", 8);
then using .style('fill-opacity', 0.5).attr("filter", "url(#blur)")
on the circles
See the fork http://jsfiddle.net/eqt1mkov/
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