Visual charts help patterns and trends stand out faster than raw numbers alone.Different visualization types suit different ...

Figure 1: Example of an IPCC figure and aspects that might limit accessibility to non-experts. How can scientific graphics about climate change be made more accessible, while retaining their ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Flip through ten pages of this issue of Nature, and your eyes will be drawn to headlines and images. In our information-thick, data-supported world, optimal representation is key. Yet many scientists ...

Speculative visualization is a branch of speculative design, which deals with the “rhetorical strategy” used in design to bring awareness to social and political agendas (Kim & DiSalvo, p. 1). This ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

These days we have a ton of geospatial data coming off the increasing numbers of satellites circling in our atmosphere, but it takes some serious processing power and engineering prowess to turn that ...

We can all collect masses of data, but it only becomes genuinely useful when we use it to make a clear point. This is where data visualization comes in. Showing data in context and using creativity to ...

Count me among the believers that the present era of growing transparency and access to data is one of the most transformative trends of our time. But as always, the trend may not be as positive as it ...