Following on from Part ii this study´s aim is to determine on the site boundary where to place our "building", I simplified the code #generativedesign so I used a similar footprint building to represent the tower. This code is meant to move the building around and find the best place to get the best views or least-obstructed. The code also moves the building around the perimeter to find the ideal site based on the views available. The code required to create this study is seen below.
By radiating lines in every direction, any obstacles that intersect can be found and thus incur some penalty for that view depending on how far the object is and the height. In this case, the study as you can see below has suggested that we position ourselves as close as possible to the park that is adjacent to our boundary line, and as far as possible from the L-shaped building. The red rectangle is the property line and the blue our suggested solutions, the grey building is the adjacent geometry.
Below you can see the suggested results as per the #generativedesign solver which allows for rapid prototyping and provides many possible solutions to explore. There is a filter used in column 3 In V the grey outline filters only the selected space thus yielding a higher ratio of Built-Up Area.
Here is a comparison of the Built-Up Area Massing Studies to show how similarly aligned the footprints and features are to the original optimized design - thus I will continue with the original design.
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