Identification of Causalities in Spatio-temporal Data
arXiv:1709.08684
Abstract
This paper contributes to the understanding of strongly coupled spatio-temporal processes by describing a generic method based on Granger causality. The method is validated by the robust identification of causality regimes and of their phase diagram for an urban morphogenesis model that couples network growth with density. The application to the real case study of Greater Paris transportation projects shows a link between territorial dynamics, more particularly of real estate and socio-economic, and the anticipated network growth. We finally discuss potential extensions to other temporal and spatial scales.
15 pages, 4 figures. Forthcoming in Proceedings of SAGEO2017 Conference. Translated from French