Layering high-dimensional data is one of the three generic software methods that are the result of my innovative mathematical spaces and transformations. When talking about its benefits with a mathematician and programmer, the term ‘3D Diagrams’ was born – with the description of being ‘uncluttered’.
For I was using data from the London Air Quality Network which has been recording measurements of pollutants and weather conditions over 200 sites, but a lot of them have been closed.
Regarding the visualisation of the measurements recorded:
- a maximum of six sites can be plotted;
- a maximum of six pollutants or weather conditions per site can appear in a graph.
Excel is not limiting the amount of data, but produces a similarly ‘cluttered’ graph:
|London Air Network||Excel|
|Uncluttered ‘3D Diagram’ – with spatial and temporal dimensions as vertical ‘layers’||‘3D Diagram’ – with Layers Sorted – thanks to new Metrics|
- real ‘uncluttering’ occurs when the layers are sorted;
- any number of sites and pollutants can be visualised;
- new quantifications, i.e. ‘metrics’ can be derived.
To be able to monitor trends in an innovative way:
- weekly and 2-weekly data is visualised to ’embrace’ daily recordings
- the ‘visual space’ for even more ‘visual clarity’ will be improved in future versions.