The beautiful 19th century data visualisations of Emma Willard unfold in this immersive piece by Susan Schulten.
Have fun with this little machine, tweaking the parameters for generating a Joy Division/Jocelyn Bell-Burnell data visualisation.
The interface is quite delightful!
An absolutely gorgeous piece of hypermedia!
Data visualisations and interactive widgets enliven this maze of mathematics. Dig deep—you may just uncover the secret passages that join these concepts together.
A lovely little bit of urban cartography.
The design history of the New York subway map.
Celestial objects ordered by size, covering a scale from one astronaut to the observable universe.
A beautiful audio and visual history of the Lomax’s journey across:
On March 31 1939, when John and Ruby Lomax left their vacation home on Port Aransas, Texas, they already had some idea of what they would encounter on their three-month, 6,502 mile journey through the southern United States collecting folk songs.
Correlation does not imply causation.
The Decolonial Atlas is a growing collection of maps which, in some way, help us to challenge our relationships with the land, people, and state. It’s based on the premise that cartography is not as objective as we’re made to believe.
For example: Names and Locations of the Top 100 People Killing the Planet — a cartogram showing the location of decision makers in the top 100 climate-hostile companies.
This map is a response to the pervasive myth that we can stop climate change if we just modify our personal behavior and buy more green products. Whether or not we separate our recycling, these corporations will go on trashing the planet unless we stop them.
Lighthouses of the world, mapped.
A cornucopia of interactive visualisations. You control the horizontal. You control the vertical. Networks, flocking, emergence, diffusion …it’s all here.
Isn’t this just lovely?
Cassie made a visualisation of the power we’re getting from the solar panels we installed on the roof of the Clearleft building.
I highly recommend reading her blog post about the process too. She does such a great job of explaining how she made API calls, created SVGs, and calculated animations.
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