Computational growth across material and urban scales offers a framework for design through self-organization, enabling the generation of vast, diverse forms exhibiting characteristics like those that emerge through the biological growth processes found in Nature. In this project, we construct an oriented volume spanned by surface normals of the shape at every point. The value of the oriented volume drives the iterative deformation of the shape. Depending on the parameterization of this process, we can obtain distinctly different growing forms. Importantly, the emergence of these forms is driven only by the time evolution of a geometric operator acting on the shapes iteratively, thereby connecting geometry and growth through an algorithm. To form the Man-Nahata landscape, the buildings of the urban landscape are transformed through repeated morphological closing operations, where the field of influence follows a gradient from the center to the outskirts of a circular region.