[GIS] Displaying relative concentration (heatmap) of point features in ArcMap

arcgis-desktopheat mapkernel density

I'm pretty new to GIS.

I have a large dataset of point features, all within a arbitrary geographical area (in this case, the greater San Francisco Bay Area). The point features have no other information besides lat/long.

What I want to do is display them in such a way that I can easily see concentrations. I think what I'm looking for is called a heatmap, although I've also seen things like "kernel density", "point density" and other terms.

The base of my map is several layers I got from a large dataset. That means that I don't really have a polygon layer that is just the area I'm looking at – the main layer is a polygon feature class of counties in the Western United States. I could extract just the counties I'm interested in if that would make this process easier.

I'm looking for something like the images in dkwiens' post in this thread.

What do I need to do? The simpler the explanation, the better – I've spent quite a while on Google looking for this, and while I've found a lot of stuff that seems like it's what I want to do, I haven't been able to translate it to my problem.


I should mention that I think the closest I've gotten is with the point density tool. I set the "input point features" to the layer containing my points, the "Population" field to NONE (the other options are X and Y), and a cell size of 50. I've tried several values of Radius, both in map units and in cell units (whatever that means!). After running the tool, I get a layer that looks like the attached screenshot. But nothing actually shows up on the map.
Here's the screenshot:


I noticed that when I look at the generated "File GeoDatabase Raster Dataset" in ArcCatalog, the preview tab has nothing in it – just a blank white screen. Not sure if it's supposed to be like that or not.

Best Answer

To summarize my comments above:

When running a spatial analysis tool on geographic lng/lat tabular data follow these steps:

  1. Make sure your data frame is set to GCS WGS 1984
  2. Create your x/y event layer
  3. Export your event layer out to a new layer (to data frame spatial reference)
  4. Re-project your layer to a PCS using the Project tool
  5. Run your spatial analysis tool (e.g. Kernal Density)