I'm a BIG, BIG fan of these types of visualizations, and I was able to create a faux-heat map like you see here, which allows the user to move two dots around (as well as exclude some completely) to see how they affect the overall map.
You can reverse engineer the program yourself, but the premise is simple:
First create a GRID (here 200x200)
Next: assign a color to every cell on the grid based on the square root of the distance to every "peak"
I created another one where I used a map of our office space to chart the ice cube density, as well as to see what happens when you add a new industrial ice maker! I've attached that one, too, called COLDMAP.
I hope this lends some inspiration
Thanks Ken Flerlage.
One thing that was pointed out to me is that I don't need a big table of numbers to create the grid: you really only need two and some slick use of data densification to generate ALL the numbers in between.
I confess I'm not a pro at this (it's a cool use of BINS), but it can certainly help reduce the memory requirements.
Very cool Michael
have a good weekend
I do a lot of data densification in my personal projects, so yes, that's probably a viable approach, though the inclusion of bins usually leads to table calculations, which can often have the exact opposite effect on performance. It's a tradeoff.
This is awesome Michael! I will take some time to read through it all.
Hi, just following up on this to see if we've addressed your question or you have additional questions. Please advise.