Yesterday the United Kingdom was supposed to leave the European Union. Again. Boris would rather be dead in a ditch. But he’s neither dead nor in a ditch. And the UK is still in the EU. So let’s enjoy the moment and reflect on this xkcd piece from the other day. And then enjoy the weekend.
Autumn arrived this week in Philadelphia. And with the cooler weather came blustery winds blowing yellowing leaves from city trees. The yellows and reds of trees beneath blue skies makes for some great photography. But what is really going on? Thankfully, the Washington Post published an article exploring where and why the leaves change colour (or don’t).
The star of the piece is the large map of the United States that shows the dominant colours of forests.
Little illustrations and annotations dot the map showing how particular trees (whose leaf shapes are shown) turn particular colours. The text in the piece elaborates on that and explains what is going on with pigments in the leaves. It adds to that how weather can impact the colour change.
Later on in the piece, a select set of photos for specific locations show at a more micro-level, how and where leaf colours change.
Overall, a solid piece for those of you who enjoy leaf peeping to read before this weekend.
Credit for the piece goes to Lauren Tierney and Joe Fox.
Well, we all made it to Friday. And for those of us here in the States, our bank holiday weekend starts at some point this afternoon. Consequently, here is a post from xkcd that basically describes my childhood and when I would draw the layouts to linear scrolling video game landscapes for Mario.
Admittedly, it really has nothing to do with data visualisation or design, but we can make a tenuous connection to video game design.
But everything is now a standardised and bland national chainstore. And before anyone asks, yes, my favourite game was SimCity. Unfortunately there I only had the power to lay out public transit systems. Strangely, it and later variations avoided the concept of multi-use zoning.
So whenever your weekend begins today, enjoy your holiday.
Yesterday in the early hours of the morning was technically the latest full moon. And so since today is Friday and we all made it to the end of the week, it seems like a good time to let xkcd educate us all on lunar periodicity.
In Philadelphia, this summer has been warmer than average. But with most recent years being warmer than average, that might not mean much. However, a valid question is that with climate change, how much warmer will the city get on average? The BBC recently published an article that explored the temperature changes in cities around the world according to several different models for best to worst case scenarios.
It does a nice job via scrolling of showing how the averages work as a rolling average and the increase over time. It runs through each scenario, from best case to worst case, as a dotted line and then plots each in comparison to each other to show the range of possible outcomes.
I know that dark or black background is in style for big pieces. But I still do not love them. Thankfully the choice of these two colours work here. The dotted lines also work for showing the projections. And in the intermediate steps, not screencaptured, the previous projections go dark and only the current one is highlighted.
Thankfully the text boxes to the right capture the critical numbers: the actual projection numbers for the monthly average. And they tie them to the lines via the colours used.
Not shown here are a few other elements of the piece. The top of the article starts with a spinning globe that shows how the average temperature across the globe has already changed. Spoiler: not well. While the spinning globe adds some interactivity to the article, it by definition cannot display the entire world all at once, like flat, two-dimensional projections do. This makes it difficult to see impacts across the globe simultaneously. A more standard projection map could have worked really well.
Lastly, the article closes with a few stories about specific locations and how these temperature increases will impact them. These use more illustrations and text. The exception, however, is a graphic of the Arctic that shows how summer sea ice coverage has collapsed over the last few decades.
Overall this is a strong piece that shows some global impacts while allowing the user to dive down into the more granular data and see the impact on some of the world’s largest cities.
Credit for the piece goes to BBC Visual and Data Journalism team.
This is not exactly data visualisation or graphic design. But it made me laugh the other day. And since we all made it to Friday, we could all do for a good laugh. Classify this under my interest in branding and visual identities.
Two weeks ago President Trump gave a speech at a conference for young conservatives. Uncontroversially, the organisation hosting the event projected on the screen an image of the seal of the President of the United States.
Or did they?
According to the report from the New York Times, it turns out some careless audiovisual guy lifted the wrong image from the internet. Instead of the presidential seal, he took an anti-Trump merchandise image.
He was fired.
So remember, properly source your images. A Google search isn’t the solution.
Happy Friday, all.
Credit for the imitation piece goes to Charles Leazott. I have no idea who designed the original seal.
Back in April the famed Notre Dame cathedral in Paris caught fire and its roof and spire spectacularly collapsed. At the time I looked at a few different pieces, including two from the New York Times, that explored the spread of the fire. Several months later the Times has just published a look into how the firefighters saved the cathedral from collapse.
The graphics are the same amazing illustrated models from before. Now with routes taken by firefighters and coloured areas indicating key equipment used in the fight to preserve what could be saved. But the real gem in the article are a series of graphics from the firefighters themselves.
Naturally the annotations are all in French. But this French firefighter and sketch artist detailed the progress of the battle during and in the days after the fire. It makes me wish I could read French to understand the five selected sketches the Times chose to use. And I love this line from the Times.
For all the high-tech gear available to big-city fire departments, investigators still see value in old-school tools.
If you are interested in the story of how the cathedral was saved, read the lengthy article. If you just want to see some really amazing and yet wholly practical sketches, scroll through the article until you get to these gems.
Credit for the overall piece goes to Elian Peltier, James Glanz, Mika Gröndahl, Weiyi Cai, Adam Nossiter, and Liz Alderman.
Hurricane/tropical storm Barry has been dumping rain along the Gulf Coast for a few days now. But prior to this weekend, the biggest concern had been for the city of New Orleans, which sits besides the swollen Mississippi River. The river was running already high at 17 feet above normal, and with storm surges and tropical rain levels forecast, planners were concerned not with the integrity of the city’s levee system, rebuilt in the aftermath of Hurricane Katrina, but simply whether they would be tall enough.
So far, they have been.
The Washington Post tracked Barry’s course with the usual graphics showing forecast rainfall amounts and projected tracks. However, the real stunner for me was this cross section illustration of New Orleans that shows just how much of the central city sits below sea level. The cross section sits above a map of the city that shows elevation above/below sea level as well as key flood prevention infrastructure, i.e. levees and pumping stations.
The unmentioned elephant remains however. The National Oceanic and Atmosphere Administration’s extreme climate change impact forecast says the water around New Orleans might rise by nearly 13 feet by 2100. Clearly, that is still well below the 20 feet levees of today. But what if there were to be a 17 feet high Mississippi River atop the additional 13 feet? 30 feet would flood the city.
Credit for the piece goes to John Muyskens, Armand Emamdjomeh, Aaron Steckelberg, Lauren Tierney, and Laris Karklis.
Ebola, which killed 11,000 people in West Africa in 2014 (whichIcoveredinacoupleofdifferentposts), is back and this time ravaging the Congo region, specifically the Democratic Republic of the Congo (DRC). The BBC published an article looking at the outbreak, which at 1,400 deaths is still far short of the West Africa outbreak, but is still very significant.
The piece uses a small multiples of choropleths for western Congo. The map is effective, using white as the background for the no case districts. However, I wonder, would be more telling if it were cases per month? That would allow the user to see to where the outbreak is spreading as well as getting a sense of if the outbreak is accelerating or decelerating.
The rest of the article features four other graphics. One is a line chart that also looks at cumulative cases and deaths. And again, that makes it more difficult to see if the outbreak is slowing or speeding up. Another is how the virus works and then two are about dealing with the virus in terms of suits and the containment camps. But those are graphics the BBC has previously produced, one of which is in the above links.
Credit for the piece goes to the BBC graphics department.
Climate change is a thing. And facing it will require a lot of our societies. But the longer we choose not to act, the more the impact will be felt by later generations. Consequently, across the world, young students have been walking out of class to shine light on an issue on which they, as children, have little direct impact. Yet. But what about us? The ones who can vote and make lifestyle decisions?
The BBC had a piece where, after soliciting questions from their readership, they answered questions. One question being, what can individuals do to reduce their impact. And while clearly individuals need to do more than one thing, one facet can be examining one’s diet. The article included this graphic on the climate impact of various food types, vis-a-vis greenhouse gas emissions.
Essentially we are looking at a simplified box plot of greenhouse gas emissions per serving of food (and drink) type. The box plot looks at a range of values for a specific item. It usually shows the extremes at both ends; the range of a significant number of the data points, e.g. 80% of the set, or by decile, or by quartile; and then lastly the average, be it mean or median. Here we have only low impact, high impact, and average impact. Presumably the minimum, maximum, and then either mean or median.
And it works really well. Chocolate is a great example of how on average, chocolate isn’t terrible. But certain chocolates can have far worse ramifications than low-impact beef, or average-impact lamb and prawns. And beef is well known to be one of the most impactful types of food.
From a design standpoint, I don’t know if the colours necessarily help. The average beef impact, for example, is worse than the high-impact maximum of every other food listed. But the association of green=good and red=bad here has little value because by that logic, the average=gold beef should be red as it sits above the high-impact everything else. A less editorial choice could be made of say a light grey or blue and then have the bright colour, maybe still orange, indicate where the average sits on that spectrum.
I do like the annotations on the chart. It highlights particular stories, like the aforementioned chocolate one, that the casual, i.e. skimming, reader may miss.
I could probably do without the little food illustrations. But the designer did a good job of making them all recognisable in such a small space—far from an easy task. And being so small, they don’t really distract or take away from the whole graphic.
Overall, this is a strong graphic.
Credit for the piece goes to the BBC graphics department.