### 4.2.1 Self-Similarity Dimension "Ds"

The self-similarity dimension “Ds” is equivalent to Mandelbrot's fractal dimension “D”. It proceeds from the fact that in a self-similarity construction there exists a relationship between the scaling factor and the number of smaller pieces that the original construction is divided into. This is true for fractal and non-fractal structures: e.g. a line, as an example for a non-fractal structure, can be divided into three identical parts. In this case the number of new pieces “a” is three and the reduction factor “s” is one third, see picture 23. The dimension “Ds” results from the equation: a ... number of pieces
s ... reduction factor
Ds ... fractal dimension => means Ds=1 in the case of a line

picture 23: The line

A one-dimensional Euclidean line can be constructed like a mathematical fractal as being shown in the picture below. The initiator is a line, the generator for example three lines of the length of one third. The initiator is replaced by the generator, which is then repeated for all three new lines of the first iteration, for all nine lines of the second iteration and so on. The length of this curve increases by , with and “s” being the number of pieces respectively the reduction-factor of the generator and “n” being the number of iterations. If the starting line has the unit length of one, the first iteration amounts to a total length of and the second iteration to , which leads to the conclusion that in contrast to fractal curves there is no increase in length.

Equally a square can be divided into four pieces by using the reducing factor of one half. If the reducing factor is one third then this results in nine similar parts and so on:

Ds=log(a)/log(1/s)=log(4)/log(2)=log(9)/log(3)=2

In general an object is a non-fractal Euclidean structure if there is no growth in length, area or volume as one observes it more closely, which also leads to the conclusion that Euclidean objects always have an integer dimension equal to its topological dimension. In contrast to that, fractal curves are objects that’s fractal dimension is greater than its topological dimension. E.g. the self-similarity dimension Ds of the topological one-dimensional Peano curve is generated by Ds=log(9)/log(1/3)=2. In this case the curve fills the surface it is lying on completely but if only one point is taken off, the curve nevertheless falls apart into two pieces.

The self-similarity dimension of the Koch curve: a=4; s=1/3;

Ds=log(a)/log(1/s)=log(4)/log(3)=1.26186

The dimension can also be measured by using two different scales - scale comparison:  ... number of pieces of the 1st scale=4 ... number of pieces of the 2nd scale=16 ... reduction factor of the 1st scale=1/3 ... reduction factor of the 2nd scale=1/9
Ds... fractal dimension measured by the comparison of the 1st and 2nd iteration of the Koch curve.

## Footnotes

 The smallest “rn” for natural structures also has to be choosen carefully because at one stage the scale of "rn" becomes as small as the scale of the image itself and no increase in length would be observed. This is then called the lower scale of the object.

DAtTE - Detection of Attic Extensions: Workflow to analyze the potentials of roofs in an urban environment
Talk and Proceeding: eCAADe 2021 - Towards a new, configurable architecture (Novi Sad, Serbia, 2021 | hybrid conference)
presentation (video)

### Bridge Club Burgenland Webpage

Webdesign für den Bridge Club Burgenland – 2491 Neufeld/Leitha.

### DAttE

European cities like Vienna are characterized by strong growth and, as a result, by high demand for living space. Extending the attic is one way of meeting this demand. However, there is a lack of data to know which roofs are already expanded and to what extent. [...]

### FLÄVIZ

Studie zur Visualisierung von Planänderungen des Flächenwidmungs- und Bebauungsplanes: Änderungen im Flächenwidmungs- und Bebauungsplan sind für die Betroffenen, d.h. die Anrainer, aber auch für die Entscheidungsträger oft schwer zu lesen. [...]

### FRACAM

This is a non commercial web application created by Wolfgang E. Lorenz and Gabriel Wurzer. It is used for education and research purposes only! The application can be used and is provided "as is" without warranty of any kind! [...]