I began writing Text Tables in Word to compare The Familiar, The New and The Difference when I was exploring
- number systems
- quantitative measuring units
- and the digitisation of light, sound and colour
- which led to the definition of new qualitative measuring units.
Hence I was actually alternating between
- going ‘deeper into analysis’ – SEPARATING, distinguishing and DIFFERENTIATING between terms and phenomena
- and higher into ‘conceptual heaven‘, as Uncle Petros had called it – UNITING, connecting and INTEGRATING seemingly opposing polarities.
The first table became number 96 in a total of some 200.
But nobody wants to read tables. They are just perfect to analyse similarities and differences, common denominators and opposites.
Now, in the spirit of teaching people to fish so that they can feed themselves, I want to make software lenses available via Smart Knowledge Portals rather than get people to understand the thinking behind the tools that will become possible – once I get the right programmers to co-create the right portals:
for any of the 3 methods:
and any of the domains people can think of
- climate change,
- imaging technologies,
- materials –
whoever will be first will get the credit!
This professor spotted the significance of my prototype Visual Data Intelligence as “understanding Number”.
This ‘special relationship’ with numbers boils down to a few creative ‘quantum leaps’:
- new mathematical spaces
- innovative transformations as the basis for creating a ‘visual z’ axis.
In terms of conceptual innovation, my contribution is:
- my mathematical spaces respect the perceivable reality of 3D as the upper number of ‘dimensions’ in the physics domain;
- ‘time’ is not defined or visualised as a 4th dimension;
- instead, ‘complexity’ and ‘high dimensionality’ are visualised on screen by producing ‘vertical layers‘ along ‘visual z’.
In terms of mathematics:
- ‘dimensions’ are defined as orthogonal planes with orthogonal axes;
- the ‘dimensionality’ of complex data can be ‘reduced’ or translated into the ‘functionality’ of variables and parameters in software;
- ‘visual z’ acts as a ‘yardstick on screen’ to assess changes and differences visually and numerically.
In terms of data visualisation,
- metrology is the missing link between physics and mathematics that Einstein was looking for;
- the human eye measures visually by comparing shapes and sizes;
- the computer measures numerically by crunching numbers.
The ‘visual z’-axis offers the possibility for
Qualifying 3D is the attempt to
- illustrate the visual and metric qualities resulting from the ‘visual z’ axis.
Visual and Metric 3D is the combination of
- data visualisation and numerical representation of time series and other numerical data.
Smart Knowledge Portals are required
- to embed human expertise as the verbal interpretation of ‘qualitative measuring units‘.