But I'm not a fan of these particular maps because the use of 3d makes them harder to read. The isometric view and rotation away from north at the top break conventions that people use to orient themselves in the map and connect it to their lived experiences on the ground. I'm reasonably familiar with NYC geography, and I could not immediately recognize the landscape I was looking at in these maps. Ironically, it was only because I already knew the answer to the question that I could do so: "oh that huge green spike must be Manhattan".
I think a 2d choropleth map with a diverging color scale centered on the mean value would work better.
ancillary 50 minutes ago [-]
Is "land value" the right term here? The NYC example uses assessed property value, which I think is a function of both the land under a property and the building itself. In that case, these "taller means more valuable" graphics are at least partially reflecting the fact that a tall building is probably more valuable than the short one next to it?
svcphr 2 minutes ago [-]
Land and "improvements" are assessed separately, and I believe this is plotting just the assessed land values. In the small text about each map, it says to use the settings to switch to full assessed value or improvements. But still, it's very hard to actually assess land value in an area like Manhattan where there are basically no land-only transactions
the_sleaze_ 39 minutes ago [-]
> Show an elected official
What is the problem this visualization seeks to make obvious? Is it just neat to think about and make?
xnx 49 minutes ago [-]
Probably fun to make but harder to read compared to a bar chart.
Rendered at 13:00:54 GMT+0000 (Coordinated Universal Time) with Vercel.
But I'm not a fan of these particular maps because the use of 3d makes them harder to read. The isometric view and rotation away from north at the top break conventions that people use to orient themselves in the map and connect it to their lived experiences on the ground. I'm reasonably familiar with NYC geography, and I could not immediately recognize the landscape I was looking at in these maps. Ironically, it was only because I already knew the answer to the question that I could do so: "oh that huge green spike must be Manhattan".
I think a 2d choropleth map with a diverging color scale centered on the mean value would work better.
What is the problem this visualization seeks to make obvious? Is it just neat to think about and make?