At any moment, about 60 percent of the earth is covered by clouds, which have a huge influence on the climate. An animated map showing a year of cloud cover suggests the outlines of continents because land and ocean features influence cloud patterns.
Kalev H. Leetaru animated world sentiment over time, based on Wikipedia entries.
See the positive or negative sentiments unfold through Wikipedia through space and time. Each location is plotted against the date referenced and cross referenced when mentioned with other locations. The sentiment of the reference is expressed from red to green to reflect negative to positive.
Sentiment stays green for the most part, with the exception of major wars, and I'm not so sure that a world map is a good way to show the relationships. For example, when the animation hits 2000, the map is basically a green blob. It's a good start though and touches on maybe the next step of the coverage maps we've seen lately.
I've never played Minecraft, but maybe this map showing live server connections means something to those who do. "A dot is a server or a client. Lines are traced from clients connecting to servers. Lone dots are local servers." They also have raw hardware data available for download. [Thanks, Erik]
The map is less interesting to me since I'm a non-Spaniard (population density?), but the categorizations and spending volume over time is fun to see. Groceries are shown in blue, gas stations in yellow, fashion in pink, and red in bars and restaurants. During the day, you see people filling up the tank, and then as evening comes, the city centers and coast lights up red.
There aren't many truly seasonal events, but a few stand out. There are regular summer voyages from Scotland to Hudson's Bay, and from Holland up towards Spitsbergen, for example: both these appear as huge convoys moving in sync. (What were those about?) Trips around Cape Horn, on the other hand, are extremely rare in July and August. More interestingly, the winds in the Arabian sea seem to shift directions in November or so. I also really like the way this one brings across the conveyor belt nature of trade with the East.
The bobbing month label is distracting, but its position actually does mean something. Since seasonality (i.e. weather) plays a role in travels, the label represents noontime location of the sun in Africa. Okay, I'm still not sure if that's actually useful.
If you really must, you can also watch the century of individual shipments during a 12-minute video.
By the way, Schmidt used R to make this, relying heavily on the mapproj and ggplot2 packages. (Bet you didn't see that coming.) I think he created a bunch of images and then strung them together to make the animation.
In this simple interactive animation by Periscopic, in partnership with UNICEF, we see the changes in urban population from 1950 up to present, through projections for 2050. Circle size represents urban population and color is an indicator for the percentage of people living in cities or towns.
The color choice for the continuous scale is not ideal, but I think they were working within the bounds of the existing print report.
For the map project, we were working with pre-existing content. They had produced the map for their print report, so we had to make it look as similar as possible to that. I know they didn’t use a Dorling cartogram, but I think their intention was to be similar to one. Certain sacrifices were made in order for it to fit the 2-page spread in the report. Unfortunately, the online version had to keep the same locations.
Gathering the data from the National Weather Service was pretty interesting, I didn’t know USA had so many weather stations! The visualization shows wind direction encoded in line angles, wind speed encoded in line lengths and disk radius, and temperature encoded in hue.
Press play, and watch it glow. You can also easily switch between symbols: discs with lines, lines only, or filled circles.
While we're on the topic of things moving on a map of changing camera angles, class project Taxi, by Tom McKeogh, Eliza Montgomery and Juan Saldarriaga, shows the movements of said vehicles in Manhattan, over 24 hours.
Geographic location data for the origin and destination of each ride is combined with waypoint data collected from the Google Maps API in order to generate a geographically accurate representation of the trip. We used data from taxi rides originating or ending in the neighborhoods of Lincoln center or Bryant Park. The visualization recreates a 'breathing' map of Manhattan based on the migration of vehicles across the city over a period of 24 hours, displaying periods of intensity, density and decreased activity.
I hope they do another iteration of this project. I bet they could do a lot more on the temporal side of things.
When running at full speed the visualization is clearly lacking in terms of salient features, yet I find it interesting. Then again, I like looking at Pachinko machines and waterfalls — processes comfortably stuck between the random and the ordered. When slowing the animation down and filtering for certain demographies it becomes more useful. At its best laymen, like myself, can visually perceive facets of the natioal Norwegian migratory process that before were only available through the statistical calculations of researchers in demography.
As you might expect, each particle represents a person moving from one ZIP code to another. The more people moving from point A to point B, the faster the particles move.
The most interesting bit, that I wish Westvan did more of, is closer to the end, when he shows a couple of demographic breakdowns. The older demographic tends to move shorter distances, and those with higher salaries shoot out from bigger cities. Hey Jon Bruner, something to keep in mind for your next iteration. Although I'm pretty sure the US doesn't make income data for every citizen publicly available like Norway does. What's that about?
Understanding patterns of bird occurrence at continental scales has long been one of eBird's fundamental challenges. Only now, with 42 million records and ever more thorough coverage nationwide, is this becoming possible. Ongoing research at the Cornell Lab is currently producing cutting-edge graphics that we are pleased to share here. Day-by-day predictions of species occurrence allows these models to shine a spotlight on the most awe-inspiring of natural spectacles: the ebb and flow of bird migration.
Cutting edge? No. They are thorough though, with maps (in the form of animated gifs) for a large number of species.
A fun map by Jamie Popkin of Little Earth that animates the use of the F-bomb, C-word, and "regular swear word" over a month. There isn't much information about where the data comes from, but I'm guessing Twitter. Each circle represents the use of a swear word, and the intensity grows as time passes. Too bad it doesn't cover the world or the entire United States.
Kiva, the microfinance site, lets you give small loans to people around the world to help them get their small business up and running. This animated map shows how 620,000 funded 615,000 borrowers, from the start of Kiva in 2005 up until now. Watch in full-screen for maximum effect.
Colors indicate loan type, which confused me at first, because I thought the map was saying that specific loan types were only given out during each time of year. It's actually cycling through the loan types though, so you can see the breakdowns as the animation plays through, and then it shows all loans at once at the end of each year.
The only thing that's missing are some counters for the amount of money passing hands. It's been an impressive $240 million in loans around the world with a repayment rate of almost 99 percent.
With American newspapers under stress from changing economics, technology and consumer behavior, it's easy to forget how ubiquitous and important they are in society. For this data visualization, we have taken the directory of US newspaper titles compiled by the Library of Congress' Chronicling America project — nearly 140,000 publications in all — and plotted them over time and space.
To see the distribution of papers over the years, simply click and drag the slider on the top. Context for each decade is displayed on the right. Each circle represents papers in a city, and the larger the circle the more papers.
Catch the animated version below. They start in the east and make their way west. Continue Reading
Using data from the USPS Postmaster Finder and the USGS Geographic Names Information System, geography graduate student Derek Watkins maps the opening of new post offices from 1700 to 1900. As you know, the mail must go through. No matter if it rains or snows. The mail must go through. So it's also a great way to see expansion of the US.
Some interesting spots: In 1776, after the revolution, new offices open along the east coast; in 1848, during the gold rush, offices sprout up on the west coast; in the 1870s, offices along the railroad open up.
A few months ago there was a lot of hoopla around the iPhone and the recording of your location. Crowdflow wants to take advantage of this opportunity to build an open database of location traces that people can use for research. Using their existing data so far, from 880 phones, Michael Kreil of Crowdflow mapped people moving around in Europe (in Germany for the most part). The results are beautiful. Continue Reading
Motion designer Patrick Clair tells the story of Stuxnet, "a Microsoft Windows computer worm discovered in July 2010 that targets industrial software and equipment." Unlike many viruses and worms, Stuxnet was designed with a specific target — Siemens Supervisory Control And Data Acquisition (SCADA) systems — and left any other systems unharmed. Stuxnet could then increase pressure in nuclear reactors and turn off oil pipelines, all the while showing monitors everything was fine.
Get the full skinny in Clair's well done motion graphic video below. Continue Reading
Designer David Wicks compares rainfall against water consumption in his thesis project Drawing Water:
Drawing Water is a constructed landscape shaped by the relationship between where water falls and where it’s consumed within the United States. It builds images to expose the reality that water is channeled, pumped, and siphoned to locations far from where it falls. Although the paths are imagined, Drawing Water is based on real data and it reveals a clear truth about water resources and use.
The placement of each line represents a rainfall measurement, and the length and end placement is based on urban consumption. Lines pulled farther from its source change to black. The data comes from two sources: USGS for water consumption and NOAA/NWS for rainfall data provided. Continue Reading
Los Angeles has a lot of things to do. The trouble is, compared to a city like San Francisco, everything is spaced out and you have to drive almost everywhere you go. There's also a ton of people and therefore, lots of cars on the freeway. Waze, in collaboration with Gray Area Foundation and Nik Hanselmann, visualize 24 hours of traffic in Los Angeles, a subject that holds a bitter spot in my heart. Continue Reading
As you know, the world wasn't always how you know it today. Land was discovered, people migrated, and significant events in history played out to shape what society is like now. For a glimpse in this sort of evolution of the world, Gareth Lloyd scraped all geotagged Wikipedia articles with time attached to them, providing a total of 14,238 events. Then he mapped them over time. Continue Reading
iPhone gets all the glory, but there are plenty of Android phones activated every day, worldwide. This quick visualization (below), from the Android Developers themselves, shows just how that growth has gone over the past few years. It starts with a worldwide view and then zooms in on countries for a closer look. Keep an eye on the top left corner for phone launches. Continue Reading