I have roughly 1.6 million points statewide with values ranging from 1 - 4. I'm looking to identify concentrations of points based on their values (1,2,3,4). I know there are several different routes you could take on this approach, but I am struggling to find one that produces a visually clean output. I am wanting to produce a map that would look similar to a "heat map." Here are a few of the different methods I've tried so far.
1) Converting all the points into a raster and using the most frequent cell assignment. The output is what I would expect, but I'm not a fan of the pixelated look. I used the smoothing tool and that cleaned up the raster cell edges, but I'm still not truly satisfied with the look of the end product.
2)The second approach I've tried is neighborhood point statistics using majority as the statistical type. This approach seems very subjective depending on the cell size and neighborhood size. The output however appears to be more of what I was hoping the end product would look like. However when looking at the individual point data, some of the output looks questionable.
Can anyone think of a more appropriate approach that would allow for more statistical analysis with the end product looking similar to a heat map? I've been looking into the hot spot analysis tool. I don't think that tool will work with my data since I have multiple point values. I am using ArcGIS 10.2 info.