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A histogram drawn with translucent horizontal lines for the date span of each series. Technical details etc here
Lense flare Twitter data visualisation by Niki Bobb at twitter.com/nikibobb. Here showing London just before the 2012 Olympics.
Using ECMWF's Forecasts (UEF) meetings provide a forum for exchanging ideas and experiences on the use of ECMWF data and products. UEF2022 took place virtually and in-person from 7 to 10 June 2022, and the theme was ‘Visualising Meteorological Data’.
Visualisation session at ECMWF (Reading) at UEF2022.
Presentations and recordings are available at
Our rendered landscape architect's visualisation for this residential development. More information on Clyde Road on our website.
Our rendered visualisation of our proposed landscape to this office development. More information on 90 Hills Road on our website.
I've put together a little Shrimp microcontroller circuit (similar to Arduino Uno) to hook up the LED matrix and Bluetooth dongle. Attention data levels are visualised as red LEDs and meditation data levels as green LEDs.
This image shows the roadmaps that we create and that illustrate the Stay, Start Stop actions in relation to complex change programs
wordle.net is a cool website that uses a java applet to display your most frequently used words (excluding really common ones) as a word cloud. This is what Wordle makes of my blog, martiantimeslip.blogspot.com
Cluster of galaxies - red channel is density, green - temperature, blue - metals; unbalanced luminosities of channels produce this trippy image
Data visualisation mapping text messages throughout a 24 hour span.
+ The bigger the circles the larger amount of words in the text message
+ The white circles represent text messages, the black ones represent emoji only messages
Next draft:
+ Clarify design, make visualisation easier to understand (maybe use numbers in the clock)
+ Maybe use color to represent different people texted (select up to 3 people?)
Here brightness is mapped to (items digitised / shelf metres). So this is a crude attempt to visualise the popularity or interestingness of different series. A series with a lot of shelf metres, but few digitised items, will be dark; a series with fewer metres, but more items digitised, will be bright.