Modelling the interdependence of spatial scales in urban systems

The multitude of interwoven spatial scales and their relevance for urban systems has been interest to the complexity science cities since its conception. Today, we are well aware that environments being simultaneously shaped organised through actions at all levels. However, fundamental question how reveal quantify interdependence processes in between various temporal is less often addressed. Deepening our theoretical understanding multiscale spatiotemporal demands a transdisciplinary framework deployment novel advanced mathematical models. This article performs analysis structures using large dataset rent price values Ruhr area, Germany. We argue that, due many interacting degrees freedom, exhibit similar features as other strongly correlated systems, example, turbulent flows, notably occurrence extreme small-scale fluctuations. analogy which support by empirical evidence, allows modelling on basis concepts methods from turbulence theory. demonstrate identifying main turbulence-borrowed characteristics an arbitrary two-dimensional field, it can be fully reproduced with small number prescribed points. Our findings have implications way analyse model potential policy evolution organisation cities.