Let's say I have the density of an object: say, $1 \space \mathrm{obj} \space m^{-2}$. This could, for example, be the number of balls on a football field. If we assume the objects are uniformly distributed, what is the average distance between an object and its nearest neighbour?
Intuitively it sounds like there should be a way to calculate this, but I can't figure out how:
- Clearly the higher the density, the smaller the distance between two neighbouring objects, so the average distance should be inversely proportional to the density.
- To get the units to work, we would take the square root. So for this density, the average distance is $\frac{1}{\sqrt{1 \space \mathrm{obj} \space m^{-2}}}$ Superficially this seems to work, except we now have an extra unit $\mathrm{obj}^{-1/2}$.
- More concerningly, I don't intuitively see why this should yield the correct result. Step 2 simply says "to get the units to work". Sure, taking the square root makes the units work, but why should this be the correct answer? It would also mean in 3D, we take the cube root, etc.
I get the feeling that this question must have been solved in the past, in which case I'd appreciate a reference.