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As the pace of space activities accelerates and societies become more reliant on space-based systems, the associated risks deserve more attention. Satellites form a critical infrastructure on which military, civil and commercial entities rely. The services ...
Like other rich countries, Switzerland is using energy and material at a per-capita rate far above the world average, contributing to multiple crises of climate, biodiversity, pollution, and numerous factors of human wellbeing, especially health, inequalit ...
Max-stable processes are central models for spatial extremes. In this paper, we focus on some space-time max-stable models introduced in Embrechts et al. (2016). The processes considered induce discrete-time Markov chains taking values in the space of cont ...
The last quarter of a century has seen a dramatic rise of interest in the spatial constraints on multisensory integration. However, until recently, the majority of this research has investigated integration in the space directly in front of the observer. T ...
The urban is a complex phenomenon whose exploration remains a important scientific challenge. Choosing complex thought in order to renew our capacities for understanding and action on and with the urban is not trivial. The complex thought developed by Edga ...
Based on an ethnography of political squats in Geneva, this paper explores the spatial dimension of commonalities. It argues that in the political process of ordering a common life, space plays a central role as it constitutes the articulating element betw ...
This work concerns state-space models, in which the state-space is an infinite-dimensional spatial field, and the evolution is in continuous time, hence requiring approximation in space and time. The multilevel Monte Carlo (MLMC) sampling strategy is lever ...
Given any solutionuof the Euler equations which is assumed to have some regularity in space-in terms of Besov norms, natural in this context-we show by interpolation methods that it enjoys a corresponding regularity in time and that the associated pressure ...
This work concerns state-space models, in which the state-space is an infinite-dimensional spatial field, and the evolution is in continuous time, hence requiring approximation in space and time. The multilevel Monte Carlo (MLMC) sampling strategy is lever ...
