The Design of Information

I was thinking about the visual display of uncertainty today and came across this nice example from a weather site in Norway. It shows the probable range of future temperature and precipitation levels for the city of Oslo. This is a good solution for something I’ve puzzled about for a while: When I hear that there’s a 30% chance of rain, I’m always asking myself “a 30% chance of how much rain?” A 30% chance of a light sprinkle is a much different forecast than a 30% chance of a deluge.

It would be interesting to know what factors go into the variability of the forecast. I imagine that the further out in time the forecast is, the more uncertain it would be, but there are obviously other factors that affect probability as well.

I also like their “detailed meteogram” with an hour-by-hour view of precipitation, temperature, and pressure, enhanced by an elegant indication of wind speed and direction, and topped off with an artful visualization of cloud cover.

Makes me proud to be 1/8 Norwegian.

With Hurricane Sandy wreaking devastation in the Northeast, I don’t know if it’s a good day or a bad day to blog about the wind, but I came across this living map of the wind created by hint.fm and was captivated.

You can also see a wind gallery of previous dates in recent history. Fascinating.

I posted about the wind map of the United States a while back. Now there’s a global wind map. Mesmerizing.

First impression: it’s a whole lot more windy over the oceans than it is over land. Intuitively obvious (even to the casual observer, as an old friend used to say), but the visualization drives the point home instantly. Now, what happens if we combine global wind data with ocean current data? It would be interesting to see how they interact.

Thanks to Andy Kirk at Visualising Data for pointing this out.