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Identification de causalités dans des données spatio-temporelles

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 socioeconomic , and the anticipated network growth. We finally discuss potential extensions to other temporal and spatial scales.
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Contributor : Juste Raimbault Connect in order to contact the contributor
Submitted on : Wednesday, November 29, 2017 - 10:01:41 AM
Last modification on : Friday, April 29, 2022 - 10:12:49 AM


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  • HAL Id : hal-01650531, version 2


Juste Raimbault. Identification de causalités dans des données spatio-temporelles. Spatial Analysis and GEOmatics 2017, INSA de rouen, Nov 2017, Rouen, France. ⟨hal-01650531v2⟩



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