Raining Maps Monday

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.

Pay attention to the map in the upper-right
Pay attention to the map in the upper-right

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.

My take on the map
My take on the map

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.

Genetic Ancestry Results

As I stated earlier this week, I spent the first half of the week in Wisconsin research my family history. And I really will try to get to it next week. But, beyond the vital records and recorded stories, I am also intrigued by how our ethnic histories break down genetically. That gets us to today’s post from xkcd.

Genetic results
Genetic results

Credit for the piece goes to Randall Munroe.

Airplanes in Hangars

Today’s post features a simple set of graphics on the BBC, however the creators were actually the Asia Maritime Transparency Initiative. The background? The increasingly tense geopolitical situation in the South China Sea, where China claims numerous islands and reefs claimed by other countries—and to a smaller extent other countries make similar such claims. Just a few weeks back, the Hague ruled against Chinese claims against islands within the Philippines territorial waters. But as these graphics show, it takes more than a legal decision to effect change on the ground.

Satellite photography shows military installations on numerous Chinese-held islands. But what makes the images potent in the communicative sense is the simple overlay of white plane illustrations. They show how many fighter jets, support aircraft, patrol aircraft, &c. that China can base at the various military installations. It is a simple but incredibly effective touch.

Fiery Cross Reef
Fiery Cross Reef

Credit for the piece goes to the Asia Maritime Transparency Initiative.

China’s Straddling Bus

Apologies for the lack of posts the last two days. I visited Wisconsin to trace some of the courthouse records of the Spellacys. And while I will try to return to them later next week, today we go to China.

During my recent holidays, the media made much ado about a new straddling bus in China. Except that it’s not that new. And now it might not be real or at least really viable. I recalled this graphic from 2012 via the Guardian and decided it would be relevant to try and explain how the bus should work.

How the straddling bus works
How the straddling bus works

Credit for the piece goes to Graphic News.

OD’ing in Philly

Another day in Philadelphia, another post of Philly data visualisation work. Here we have a piece from 2015 that was updated earlier this spring. It looks at overdose rates in the Philadelphia region, including parts of New Jersey. It does include a map, because most pieces like this typically do. However, what I really find interesting about the piece is its use of small multiple line charts below to take a look at particular counties.

The piece overall is not bad, and the map is actually fairly useful in showing the differences between Jersey and Philadelphia (although why New Jersey is outlined in black and the Philly suburban counties are not I do not know). But I want to take a look at the small multiples of the piece, screenshot below.

Philly area counties
Philly area counties

You can see an interesting decision in the choice of stacked line charts. Typically one would compare death rates like for like and see whether a county is above, below, or comparable to the state, local, or national averages. But combining the three gives a misleading look at the specific counties and forces the user to mentally disentangle the graphic. I probably would have separated them into three separate lines. And even then, because of the focus on the counties, I would have shifted the colour focus to the specific counties and away from the black lines for the national average. The black is drawing more attention to the US line than to the county line.

Credit for the piece goes to Don Sapatkin.

Where do Philly’s Cops Live?

I am on holiday for a few days and am visiting Philadelphia. So what better time to cover some Philadelphia-made content? This interactive piece came out last year from Philly.com alongside coverage of the Philadelphia mayoral contest.

Where the cops live
Where the cops live

I want to call out the colour palette for the choropleth in particular. We can see a blue to red system with a stop at yellow in the middle—a divergent palette. With this kind of a setup, I would expect that yellow or the light blue to be zero or otherwise straddle the point of divergence. Instead we have dark blue meaning 0 and dark red meaning 401+. The palette confuses me. It could be that the point of divergence—something around the 200 number—could be significant. It could be the city average, an agreed upon number for good neighbourhood relations, or something. But there is no indication of that in the graphic.

Secondly the colour choice itself. I often hesitate using red (and green) because of the often-made Western connotation with bad. Blue here, it works very well with the concept of the thin blue line, NYPD blue, blue-shirted police. If we assume that there is a rationale for the divergent palette, I would probably place the blue on the high-end of the spectrum and a different colour at the negative end.

Lastly, from the perspective of the layout, Philly has a weird shape. And so that means between the bar chart to the right and the city map on the left the piece contains an awkward negative space. The map could be adjusted to make better use of the space by pointing north somewhere other than up.—why is north up?—to align the Delaware River with the bars. Or, the bars could abut West Philly.

The interactions, however, are very smooth. And a nice subtle touch that orients the reader without distracting them is the inclusion of the main roads, e.g. Broad Street. The white lines are sufficiently thin to not distract from the overall piece.

Credit for the piece goes to Olivia Hall.

President Bloomberg?

I am not watching the conventions for the first time I can recall, because no cable television. But, I am occasionally dipping into live feed coverage. And while Michael Bloomberg spoke FiveThirtyEight linked to a few pieces of content they published earlier. I covered one about candidates abandoning the middle ground earlier. But this one I had skipped. It looked at the possibility of Michael Bloomberg stepping into the White House as president.

If Bloomberg ran, Election Night 2016
If Bloomberg ran, Election Night 2016

Credit for the piece goes to the FiveThirtyEight graphics department.

Timeline of Recent French Terrorism Attacks

Yesterday the French Catholic community of Rouen was attacked by an alleged IS terror group. In the aftermath the BBC put together a graphic published inside a broader piece. The graphic documented the recent history of terror attacks in France.

When you read or scroll through the overall piece, a bit more symmetry could be added by aligning dates to the central column. That would make the dates more easily comparable. Though it should be noted the important point is made by the rapid clustering of events in the most recent time period.

And for a personal quibble, I believe that timelines are more effective when the most recent date is at the top. Presume the timeline starts in the 1950s during the middle of the Algerian War fought between France and Algeria, which at the time was an integral part of France. Would we want to read all those incidents from the 1950s and 60s? Likely no. Instead, we could scroll down the entirety of the piece. Here, however, we start in the relative calm of 2012, 2013, and early 2014.

Timeline of terror attacks in France
Timeline of terror attacks in France

Credit for the piece goes to the BBC graphics department.