Tool-building is an essential but poorly incentivized component of academic geography and social science more broadly. To conduct better science, we need to
build better tools.
This study measures the entropy (or disordered-ness) of street bearings in each street network, along with each city’s typical street segment length, average circuity, average node degree, and the network’s proportions of four-way intersections and dead-ends. It also develops a new indicator of orientation-order that quantifies how a city’s street network follows the geometric ordering logic of a single grid. These indicators, taken in concert, reveal the extent and nuance of the grid.
How do we know what’s the right direction [for computers to take]?
Ultimately it comes down to taste. It comes down to trying to expose yourself to the best things that humans have done, and then trying to bring those things in to what you’re doing.
Picasso had a saying: “Good artists copy, great artists steal.” And we (at Apple) have always been shameless about stealing great ideas. And I think part of what made Macintosh great was that the people working on it were musicians and poets and artists and zoologists and historians who also happened to have been the best computer scientists in the world. But if it hasn’t been for computer science, these people would all be doing amazing things in life in other fields. And they brought with them — we all brought to this effort — a very liberal arts air, a very liberal arts attitude, that we wanted to pull in the best we saw in these other fields into ours.