You may recall how over two years ago I posted about a piece from the New York Times that explored the levels of Arctic sea ice. It showed how the winter sea ice of 2015 was the lowest level ever recorded. Well last week the Times updated that piece with new data. And instead of the static graphic we enjoyed last time around, this time the piece began with a nice animation. It really helps you see the pattern, so you should click through and check out the whole piece.
But this isn’t just a visually top heavy piece. No, the remainder of the article continues to explore the state of Arctic sea ice through a number of other charts and maps.
Credit for the piece goes to Nadja Popovich, Henry Fountain, and Adam Pearce.
One more day of Harvey-related content. At least I hope. (Who knows? Maybe someone will design a fantastic retrospective graphic?) Today, however, we look at a piece from the Economist about the rising number of weather-related disasters, but thankfully falling numbers of deaths. The piece has all the full suite of graphics: choropleths, line charts, and bar charts (oh my!). But I want to look at the bar chart.
I cannot tell from this chart whether there has been any change in the individual elements, the meteorological, hydrological, or climatological disasters. And unfortunately stacked bar charts do not let us see that kind of detail. They only really allow us to see total magnitude and the changes in the element at the bottom of the stack, i.e. aligned with the baseline. So I took their chart and drew the shapes as lines and realigned everything to get this.
You can begin to see that meteorological might be overtaking hydrological, but it is too early to tell. And that right now, climatological causes are still far behind the other two.
Credit for the piece goes to the Economist Data Team.
I woke up this morning and before breakfast I opened the door to bring in today’s edition of the New York Times. I enjoy reading the paper, or at least a few articles, over breakfast (and more often than not preparing a post for here at Coffeespoons.me). Some of the best days are when I open the door and find a giant piece of data visualisation there above the fold. Other images, for example the other day’s eclipse coverage, also strike me, but as someone who visualises data as part of his career, I particularly enjoy things like maps. (I should point out I also do editorial design, so things like this layout are even closer to the intersection of my interests.)
Lo and behold, this morning I opened the door and we had the shrinking permafrost of Alaska this morning.
Now that is basically it. I have a crop of the map at the end here, but the map was the extent of the data visualisation in the article. Indeed, other articles in today’s edition carried more interesting graphics—I took photos to hopefully circle back—but the nerd I am, I really do get a kick finding a paper like this in the morning.
The graphic itself occupies half the space above the fold and the bright cyan and magenta steal the user’s attention. Even the headlines of the other articles recede behind the Alaska maps.
White space around the maps subtly helps focus attention on the piece. To be fair, the shape of Alaska with its archipelagos and bays along with the southeast extension help to create that space. A more squarish shape, say Colorado, would not quite have the same effect.
If I had to critique anything, I might have placed the city labels, especially Fairbanks, and the state label elsewhere to enhance their legibility. But at that point, I’m really just quibbling around the edges.
This past weekend, I came upon a neat little graphic in the New York Times supporting an article about the impact of climate change on temperatures. The article basically lays out the argument that summers are getting hotter. And as a cold-weather person, that is dreadful news.
But the good news is the graphic was well done. It uses the outline of the baseline data as a constant juxtaposition against the date interval examined. And the colour breaks remain in place to show that compared to what we consider “normal”, we are seeing a shift to the higher end of the spectrum.
Credit for the piece goes to the New York Times graphics department.
I could have covered the pieces on Gorsuch or the budget—and we will get to those—but I wanted to cover some data released by the World Meteorological Organisation that puts 2016 as the warmest year on record.
But that’s cool, climate change is a hoax.
The graphic comes from a BBC article covering the news, and is a reuse of work from the National Oceanian and Atmospheric Administration. It portrays how much this past January deviated from long-term averages. Because, and I am probably preaching to the choir, remember that day-to-day highs, lows, and precipitation are weather. Longer term trends, patterns, and averages are evidence of climate.
Just so happens that today is also supposed to be the warmest day of the week here in Philadelphia.
When I was in high school in 2002, it was big news when one of the three Larsen ice shelves in Antarctica, Larsen B, collapsed. And then when I was at university, the band British Sea Power wrote a song titled “Oh Larsen B” that I have always enjoyed.
Now Larsen B was not the first Larsen ice shelf to collapse. That dubious honour belongs to Larsen A, which collapsed in 1995. But, Larsen B will not be the last as the third, Larsen C, is now on the verge of collapse. This graphic from Adrian Luckman, reproduced by the BBC, illustrates how the rift calving the shelf has seen accelerated growth recently.
I believe the colours could have been designed a bit better to show more of the acceleration. The purple fades too far into the background and the yellow stands out too much. I would be curious if the data existed to create a chart showing the acceleration.
The inclusion of the map of Wales works well for showing the scale, especially for British audiences. In other words, an iceberg 1/4 the size of Wales will be released into the Southern Ocean. For those not well versed in British geography, that means an iceberg larger than the size of Delaware. That’s a big iceberg.
So this is the last Friday before the election next Tuesday. Normally I reserve Fridays for less serious topics. And often xkcd does a great job covering that for me. But because of the election, I want today’s to be a bit more serious. Thankfully, we still have xkcd for that.
The screenshot above gets to the point. But the whole piece is worth a scroll-through and so it goes at the end. Credit for the piece goes to Randall Munroe.
One of the things I like about Chicago’s WGN network is its weather blog. They often include infographic-like content to explain weather trends or stories. But as someone working in the same field of data visualisation and information design, I sometimes find myself truly confused. That happened with this piece last Friday.
The map in the upper-right in particular caught my attention and not in the good way. The overall piece discusses the heavy rainfall in the Chicago area on Thursday and the map looks at the percentage increase in extreme weather rainfall precipitation. All so far so good. But then I look at the map itself. I see blue and thing blue > water > rainfall. The darker/more the blue, the greater the increase. But, no—check out Hawaii. So blue means less rainfall. But also no, look at the Midwest and Southeast. So does green mean anything? Beyond being all positive growth, not that I can tell. As best I can tell, the colour means nothing in terms of rainfall data, but instead delineates the regions of the United States—noting of course they are not the standard US Census Bureau regions.
So here is my quick stab at trying to create a map that explains the percentage growth. I have included a version with and without state borders to help readers distinguish between states and regions.
And what is that at the bottom? A bar chart of course. After all, with only eight regions, is a map truly necessary especially when shown at such an aggregate level? You can make the argument that the extreme rainfall has, broadly speaking, benefitted the eastern half of the United States. But, personally speaking, I would prefer a map for a more granular set of data at the state or municipality level.
Credit for the piece goes to Jennifer Kohnke and Drew Narsutis.
So yesterday we reimagined a less-than-stellar BBC chart. Today, we look at a good chart from the BBC about climate change, timed to coincide with the start of the Paris climate talks. This comes from an article with six charts related to climate change, but it is the best in my mind.
Nothing but nice design here with the use of colour to highlight the top ten hottest and coldest years over the last 225+ years. But it really comes alive when animated and tells the story how those coldest years occurred at the beginning of the set and the hottest are among the most recent years.
Credit for the piece goes to Emily Maguire, Tom Nurse, Steven Connor, and Punit Shah.
At the end of the month the world will gather in Paris, France for the next round of climate change talks. In advance of the talks, the Financial Times put together this model of how emissions reductions will help—or not—get climate change under control. The piece is two-fold. The first is a ten-step narrative that showcases the tool’s split of the time series into short-, medium-, and long-term impacts and how those work in the best and worst case scenarios. But it then allows the user to jump right on in and create their own scenarios.
Credit for the piece goes to John Burn-Murdoch and Pilita Clark.