This is a famous picture by the artist Imperial Boy (帝国少年), who works in the anime industry. I sometimes claim that the entire genre of solarpunk is simply a riff on this picture.
If it’s not just “trees on buildings”, where does the Imperial Boy picture get its magic? Looking at it carefully and trying to analyze what I like about it, I think that much of it is about architecture, and even more of it is about the use of urban space — about how the structures in the picture shape the kinds of things you’d do if you were there. For example, here are five things I like:
The bipartisan deal contains a pot of money to repair America’s roads and bridges, and build a few more besides. This is the way we usually do infrastructure in America. First we build a ton of roads and bridges that are highly expensive to maintain, especially with our ruinously high construction costs (see this recent article by Jerusalem Demsas). Then, because costs are so high, we wait for a long time to repair the roads and bridges, until civil engineers start screeching, roads get potholed, and there’s a bridge collapse or two. Then we muster up the political will to throw the requisite shit-ton of money at the problem, the potholes and weak bridges get repaired for twice the amount it would have cost had we done it on a regular schedule and three times the amount it would cost if we were a normal rich country. And the whole cycle begins again.
Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.
Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.