I mostly find this fascinating having not seen it properly depicted, but the interactive version shows more about locations of power plants, plus maps of solar and wind power along with their relative capacities.
I love the craggy beauty of the layered lines, and appreciate the restraint of the map’s creators to simply show us this amazing data set.
And if you find yourself toe tapping and humming “we gonna rock down to…” later this afternoon, then I’m really sorry. I’m already beginning to regret it.
Saudi Aramco was originally an American company. It goes way back to the 1930s when two American geologists from Standard Oil of California discovered oil in the Saudi desert.
Standard Oil formed a consortium with Texaco, Exxon and Mobil, which became Aramco. It wasn’t until the 1980s that Saudi Arabia bought them out and nationalized the company. Today, Saudi Aramco is the custodian of the country’s sole source of wealth and power.
Over 16,000 people work at the company’s massive compound, which is like a little country with its own security force, schools, hospitals, and even its own airline.
According to Abdallah Jum’ah, Saudi Aramco’s president and CEO, Aramco is the world’s largest oil producing company.
And it’s the richest company in the world, worth, according to the latest estimate, $781 billion.
I was about to change the channel (perhaps as you were just about to stop reading this post), when they showed the big board:
Jum’ah gave 60 Minutes a tour of the company’s command center, where engineers scrutinize and analyze every aspect of the company’s operations on a 220-foot digital screen.
“Every facility in the kingdom, every drop of oil that comes from the ground is monitored in real time in this room,” Jum’ah explained. “And we have control of each and every facility, each and every pipeline, each and every valve on the pipeline. And therefore, we know exactly what is happening in the system from A to Z.”
A large map shows all the oil fields in Saudi Arabia, including Ghawar, the largest on-shore oil field in the world, and Safaniya, the largest off-shore oil field in the world; green squares on the map monitor supertankers on the high seas in real time.
Here’s a short part of the segment that shows the display:
Since the smaller video doesn’t do it justice, several still images follow, each linked to their Comcastic, artifact-ridden HD versions:
Did rooms like this first exist in the movies and compelled everyone to imitate?
New guys and interns have to sit in front of the wall of vibrating bright blues:
The display is ambient in the sense that nobody’s actually using the larger version to do real work (you can see relevant portions replicated on individuals’ monitors). It seems to serve as a means of knowing what everyone in the room is up to (or as a deterrent against firing up Solitaire — I’m looking at you Ahmad). But more importantly, it’s there for visitors, especially visitors with video cameras, and people who write about visualization and happened to catch a segment about their info palace since it immediately followed the Patriots-Seahawks game.
A detail of one of the displays bears this out — an overload of ALL CAPS SANS SERIF TYPE with the appropriately unattractive array reds and greens. This sort of thing always makes me curious about what such displays would look like if they were designed properly. Rather than blowing up low resolution monitors, what would it look like if it were designed for the actual space and viewing distance in which it’s used?
Visualizing Data is my book about computational information design. It covers the path from raw data to how we understand it, detailing how to begin with a set of numbers and produce images or software that lets you view and interact with information. Unlike nearly all books in this field, it is a hands-on guide intended for people who want to learn how to actually build a data visualization.
The text was published by O’Reilly in December 2007 and can be found at Amazon and elsewhere. Amazon also has an edition for the Kindle, for people who aren’t into the dead tree thing. (Proceeds from Amazon links found on this page are used to pay my web hosting bill.)
The book covers ideas found in my Ph.D. dissertation, which is basis for Chapter 1. The next chapter is an extremely brief introduction to Processing, which is used for the examples. Next is (chapter 3) is a simple mapping project to place data points on a map of the United States. Of course, the idea is not that lots of people want to visualize data for each of 50 states. Instead, it’s a jumping off point for learning how to lay out data spatially.
The chapters that follow cover six more projects, such as salary vs. performance (Chapter 5), zipdecode (Chapter 6), followed by more advanced topics dealing with trees, treemaps, hierarchies, and recursion (Chapter 7), plus graphs and networks (Chapter 8).
This site is used for follow-up code and writing about related topics.