ie: You've got a $899,000 home sale, that's supposedly a ~$4000/mo rent, which leads towards a "25% rule" of $16,000/mo income => $192,000/yr => which is supposedly 93.9%-ile.
Going from $4000/mo => $5000/mo, it seems like it takes you to 96.8%-ile.
In theory as well. Small changes of the log of a variable are approximately equivalent to small percent-changes.
Edit: Though percentile is a little different than percent-change.
It's common to scale the elevation of a topographic map to exaggerate features [1], even non-linearly [2]. If you try to 3d print a raised relief globe without exaggeration it is surprisingly flat. If you're buying an expensive classroom globe, the specs talk about the exaggeration [2].
This is a sculpture, so whatever goes, but perhaps the designer looked at the version without exaggeration and noticed that it looked less emphatic.
I also think, as data visualization, this sculpture nicely shows the extreme change in price which occurs over small spatial distances. That's really important, and, actually, the tendency to make real estate price heatmaps with models that force continuity and prefer smoothness, like cubic splines, suppresses that aspect of the data. Railroad tracks and some beautification really are sometimes the only thing between million dollar homes and mobile parks.
It would be cool to see this with neighborhood boundaries/names on the mesh.
[1] "A raised-relief map or terrain model is a three-dimensional representation, usually of terrain, materialized as a physical artifact. When representing terrain, the vertical dimension is usually exaggerated by a factor between five and ten; this facilitates the visual recognition of terrain features." https://en.wikipedia.org/wiki/Raised-relief_map
[2] "Raised Relief: Yes. Elevations from 0-3,280 feet are magnified 60 times, higher elevations and ocean floor are exaggerated by 40 times." http://www.1worldglobes.com/1WorldGlobes/classroom_relief_gl...
I must stress that I'm realize I'm being very analytic about a piece of art. As art and as a statement, I recognize that it is very well done. I just don't have much to say about it other than wondering if it is misleading.
Meanwhile... the highest and lowest hex I can spot is 1265 / 457 = a ratio of 2.76 with both endpoints having relatively steep curves compared to the rest of the histogram. With the graph's Z0 set to 457 and Zscale set to an arbitrary ratio, the sculpture-graph conveys the impression that there is a discrepancy of 5 or more times between the top of hill on the bottom tier vs the nearby flat area of the top tier. When the reality is something more like 1234 / 810 = 1.5