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Spatial networks have recently attracted great interest in various fields of research. While the traditional network-theoretic viewpoint is commonly restricted to their topological characteristics (often disregarding existing spatial constraints), this work takes a geometric perspective, which considers vertices and edges as objects in a metric space and quantifies the corresponding spatial distribution and alignment. For this purpose, we introduce the concept of edge anisotropy and define a class of measures characterizing the spatial directedness of connections. Specifically, we demonstrate that the local anisotropy of edges incident to a given vertex provides useful information about the local geometry of geophysical flows based on networks constructed from spatio-temporal data, which is complementary to topological characteristics of the same flow networks. Taken both structural and geometric viewpoints together can thus assist the identification of underlying flow structures from observations of scalar variables.
General news | 2017-12-12
See video from eminar with Professor Rashid Sumaila, one of the world’s most innovative researchers on the future of the oceans
Research news | 2017-11-30
The PECS-II conference showcased place-based research and how it can help us work towards global sustainability in the Anthropocene
Research news | 2017-11-28
How urban greening and civic ecology projects can improve human well-being and restore crucial ecosystem services
Research news | 2017-11-27
What plantain farmers in Costa Rica can teach us about the inconsistent links between access to ecosystem services and well-being
Research news | 2017-11-23
Centre science director well established among world’s most top-cited and influential scientists
Research news | 2017-11-21
Large-scale changes in Arctic marine food web can be expected within 50 years, some good, but in the long run several critical