Kai’s Comparing Map Projections mashes up two code blocks by Mike Bostock: Map Projections Distortions is a visualization of the types of distortion inherent to each projection; Projection Transitions morphs between projections. Combining the two is a neat trick. Refreshing to see the usual two combatants excluded. [Maps Mania]
Data.Pour.Paris is a collection of interactive maps about the city of Paris. It’s a lot more interesting—and granular—than it appears at first glance, though. The traffic and real-time metro maps you might expect, but the map of street lights drills down to individual streetlights—and their wattage. Public order complaints are mapped individually, and there’s even a map of the 2018 Paris marathon that tracks the progress of individual runners. They’re the work of French engineer Benjamin Tran Dinh, and they’re neat. They speak as much to the availability of such data as the ability to map it. [Maps Mania]
Previously: Le Grand Paris en Cartes.
Diagrams of Power, a group exhibition taking place right now at OCAD University’s Onsite Gallery in Toronto, “showcases art and design works using data, diagrams, maps and visualizations as ways of challenging dominant narratives and supporting the resilience of marginalized communities.” Curated by Patricio Dávila, it runs until 29 September. Free admission.
Update: The above is lacking in some detail; here’s the Toronto Star review to make up for it.
Last month Lisa Charlotte Rost published a post on Datawrapper’s blog full of tips about choropleth maps: when to use them (and when not to), how to make them better (lots about colour use), along with some examples of good ones. Worth bookmarking.
She followed that up with another post focusing on one particular factor: the size of the geographic unit. Choropleth maps that shows data by municipality, county, region, state or country will look quite different, even if they show the same data. Averages tend to cancel out extremes. She gives the following examples:
Datawrapper has added population cartograms to its map collections, and in its blog post discusses the advantages and disadvantages of cartograms vs. geographical maps, as well as the advantages and disadvantages of some of the different types of cartograms. Turns out that cartograms are kind of like map projections: each has its pros and cons; each is better suited to some uses than to others. [Caitlin Dempsey]
A data visualization by Gwilym Lockwood looks at where passengers get on and off the tube—it’s “a geographically accurate map of the London tube lines, sized by number of passengers getting on and off at each station.” Hovering over and clicking on each station reveals more data. [Maps Mania]
Here’s something neat from Garrett Dash Nelson: “the total seasonal snowfall in the continental US for 2017–2018 so far, shown as a relief map,” where total snowfall is expressed as elevation. That’s neat. Even neater: the animated gif that depicts it (a frame of which is above). Even neater than that: he shows how he made said animated gif.
Here’s an animated map showing each country’s average life expectancy at birth for every year since 1960, posted by Reddit user DataFreelancer to the Data Is Beautiful subreddit. [Boing Boing]
Most of these more common map types focus on a particular variable that is displayed. But what if you have multiple variables that you would like to present on a map at the same time?
Here is my attempt to collect examples of multivariate maps I’ve found and organize them into a loose categorization. Follow along, or dive into the references, to spur on your own investigations and inspirations!
Jim’s examples of maps that display more than one variable include 3D maps, multicolour choropleth maps, multiple small maps, and embedded charts and symbols. Useful and enlightening.
Ingo Günther’s World Processor project, which projects historical, political, social and environmental data visualizations onto literally hundreds of illuminated globes, gets a writeup in, of all places,
Will Geary’s TransitFlow project is an experimental set of tools to build animated transit flow visualizations, built from Transitland’s open-source transit schedule data. More than a dozen visualizations are available in video form here; each shows the flow of trains, buses and other forms of transport over the course of a day. Very high visual appeal. More at the Guardian. [Metrocosm]
Speaking of National Geographic. If the magazine is known for its cartography and its photography, one should not forget the illustrations, charts and infographics that accompany many of the articles and appear on the back of every folded map that comes several times a year with a magazine subscription. Now there’s a book of them: National Geographic Infographics. Edited by Julius Wiedemann and published by Taschen, the book “gather[s] the magazine’s best infographics of the past 128 years.” More at Atlas Obscura and Wired.
This interactive map shows the location of every single cargo ship over the course of 2012. Shipping routes (the Straits of Malacca look particularly bottlenecked) and materials shipped are available via the interface, and there’s a nice narrated tutorial explaining how the map works. Thanks to David Krathwohl for the tip. [Digg]
Sajjad Anwar and Sanjay Bhangar have been playing with train, station and schedule data from Indian Railways, one result of which (so far) is this reachability map—all the destinations reachable by a single train (i.e., without a transfer) from a given station. [Sajjad Anwar]
Previously: A Map of India’s Railway Network.