I came across this interactive world population density map over the weekend and I immediately thought to myself, "this is going on the blog." It uses data from the Global Human Settlement Layer (GHSL) produced by the European Commission and by CIESIN (super long name) at Columbia University. And it's a fascinating way to explore how our world is urbanizing.

What you will want to do is make sure that you head over to China and check out regions like the Yangtze River Delta (shown above). If you hover over a location, it will also bring up a graph and table showing you how that place has evolved from 1975 to 2015. Note: Shanghai's peak population density in 2015 was 104,400 people per square kilometer!

As I am sure you have all heard, there's a lot of debate in New York right now (city and state) about whether they should reject Amazon's decision to open up a new headquarters in Queens.

Urbanist Richard Florida has been arguing that one of the richest companies in the world shouldn't be receiving taxpayer subsidies and that Amazon should do the right thing here. They should open up in New York but without any inducements.

As a counter argument, Kenneth Jackson, professor of history at Columbia University, recently opined that this is actually business as usual. American cities have a long history of competing for companies because the benefits outweigh the costs over the longer term.

Here is an excerpt from his op-ed in the New York Times:

They are right about one thing. It is absurd that any city would agree to such a deal. But this is how the game is played. Paying companies to relocate has been the American way since 1936, when Mississippi established the nation’s first state-sponsored economic development plan. Under that plan, since followed by many other jurisdictions, cities and states agreed to pay companies to relocate by promising them new factories and low or nonexistent taxes. With those inducements, numerous businesses relocated in the decades after World War II, usually from the union-dominated Northeast and Midwest to the business-friendly South.

Perhaps this would make a good debate topic for Kialo.

Update: Amazon just cancelled its plans for a corporate HQ in NYC.

Facebook, as part of their internet.org initiative, is working on bringing internet access to people in rural areas all across the world. For obvious socioeconomic reasons, this is an important initiative. From a business standpoint, it also grows the base of potential Facebook users at a time where that top line number is starting to plateau.

In order to understand how people are settling and aggregating throughout the world, Facebook has been using high-resolution population maps and then creating models to drill down and analyze individual buildings. 

This is interesting because: how else could you track informal settlements? So far this seems to be the most effective method. In fact, in architecture school I worked on a project in Dhaka, Bangladesh and I remember relying heavily on aerial photography because I simply couldn’t find the data I was looking for.

Here’s an excerpt from a recent World Bank post. They, along with Columbia University, are collaborating with Facebook.

Facebook’s computer vision approach is a very fast method to produce spatially-explicit country-wide population estimates. Using their method, Facebook successfully generated at-scale, high-resolution insights on the distribution of buildings, unmatched by any other remote sensing effort to date. These maps demonstrate the value of artificial intelligence for filling data gaps and creating new datasets, and they could provide a promising complement to household surveys and censuses.

And here’s an excerpt from a recent Facebook post on the same topic:

From this preliminary analysis, we’ve determined that slightly less than 50% of the population lives in cities. However, 99% of the population lives within 63 km of the nearest city. Hence, if we are able to develop communication technologies that can bridge 63 km with sufficiently high data rates, we should be able to connect 99% of the population in these 23 countries. [”These 23 countries” represents about 1/3 of the world’s population.]

I would imagine that this type of model works better in sparsely populated / low-rise areas. Still, I am very interested in thinking about ways in which our current survey and census methods could be improved. Here in Canada we conduct our national census every 5 years. In today’s world that feels like eons. One day, I am sure, it will be real-time.

Image: World Bank