The statistics on gun violence in this country are heart breaking. Guns killed 11,419 people in 2013. This represents a loss of over 500,000 years of life. Unfortunately, the rate of gun violence continues unchecked. This topic never loses its timeliness. Three Days – 4,000 Years is an adaptation of the powerful U.S. Gun Deaths visualization the data design firm Periscopic created a few years ago in response to the school shooting in Newtown CT. Continue reading
Here is another 3D map. This one shows differences in sea surface temperature (SST) along the East Coast of the U.S. The elevation differences highlights the Gulf Stream, a surface current that flows north along the western edge of the North Atlantic, transporting warm water northward from the tropics.
I could not be happier with the results. The first person I showed the model to said that she never really understood what Minard’s chart was showing until she saw it in 3D. Continue reading
The wave interference models I shared a few months ago followed two dimensional waves over time. (x and z axes represented space and the y axis represented time. As an extension of this work, I’ve started creating models of interaction patterns formed by circular waves.
The models in this post are snapshots showing interaction pattern formed by two longitudinal waves propagating over time.
Bubble charts are a popular way to present quantitative data. Often the area of the circles in the bubble chart are used to encode the value of a parameter. The larger the value, the greater the area, the bigger the circle. This makes intuitive sense and can be quite effective for rough comparisons. However, it is important to understand that we are not very good at estimating area and these representations distorts the data because we are not very good at estimating area.
Our eyes give us a very subjective view of the world. This subjectivity leaves us susceptible to a variety of optical illusions. The fact that we are not very good at estimating the absolute brightness of a region, but have a strong ability to detect differences between neighboring regions causes simultaneous brightness contrast illusions. This type of illusion makes the perceived brightness of any region in a complex image vary depending on the brightness of the region’s immediate surroundings.
The illustration below shows how our perception of a solid grey square is influenced by the background. The two squares below are the same shade of grey, but the lighter background behind the square on the left makes that square appear darker than the one on the right.