Some lovely data visualisation by Brendan:
The work features three main components — the threats, represented by black obelisk style objects, the system which detects and deals with these threats, represented by an organic mesh like structure, and finally the creativity that is allowed to flow because the threats have been neutralised.
This is a nifty visualisation by Hui Jing. It’s really handy to have elements categorised like this:
- Root elements
- Interactive elements
- Document metadata
- Tabular data
- Grouping content
- Embedded content
- Text-level semantics
This orrery is really quite wonderful! Not only is it a great demonstration of what CSS can do, it’s a really accurate visualisation of the solar system.
The map we need if we want to think about how global living conditions are changing - Our World in Data
While a geographical map is helpful if you want to find your way around the world, a population cartogram is the representation that we need if we want to know where our fellow humans are at home.
Typography meets astronomy in 16th century books like the Astronomicum Caesareum.
It is arguably the most typographically impressive scientific manual of the sixteenth century. Owen Gingerich claimed it, “the most spectacular contribution of the book-maker’s art to sixteenth-century science.”
These are beautiful!
Featured below is a chronology of various attempts through the last four centuries to visually organise and make sense of colour.
A beautiful visualisation of shipping routes and cargo. Mesmerising!
You can see movements of the global merchant fleet over the course of 2012, overlaid on a bathymetric map. You can also see a few statistics such as a counter for emitted CO2 (in thousand tonnes) and maximum freight carried by represented vessels (varying units).
In this days of monolithic frameworks, I really like seeing modest but powerful patterns like this—small pieces that we can loosely join.
Hot nuclear blasts in your area.
(like Eric’s HYDEsim)
From Scott McCloud to responsive design, Dave is pondering our assumptions about screen real estate:
As the amount of information increases, removing details reduces information density and thereby increasing comprehension.
It reminds me of Edward Tufte’s data-ink ratio.