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Integrating social and spatial networks will be critical to new approaches to cities as systems of interaction. In this paper, we focus on the spatial and temporal conditions of encounters as a key condition for the formation of social networks. Drawing on ...
The privileged position of the Phasor Data Concentrator (PDC) in a synchrophasor-based monitoring system can be exploited to make this device the core of a distributed measurement architecture suitable for control and protection applications in power syste ...
When moving, the spatiotemporal unfolding of events is bound to our physical trajectory, and time and space become entangled in episodic memory. When imagining past or future events, or being in different geographical locations, the temporal and spatial di ...
The Koopman operator was recently shown to be a useful method for nonlinear system identification and controller design. However, the scalability of current data-driven approaches is limited by the selection of feature maps. In this paper, we present a new ...
The present paper focuses on the work conducted by the NGO Teto in São Paulo (Brazil), where a series of datasets providing geographic information on slums is being elaborated thanks to recent geospatial technologies well suited for a non-specialist, volun ...
For some decades already, emerging countries have faced the complex reality of fast growing metropolitan areas, and local governments have showed little success in keeping track of the rapid changes that happen in their own territories. Consequently, all a ...
Many policies are spatially targeted: they attempt to foster or incent policy actions in areas meeting specific criteria. The identification and delineation of the spatial reality of interest is a major challenge to spatially targeted policies. In many cas ...
Leprosy, a highly disabling and stigmatizing infectious disease, is caused by Mycobacterium leprae and the newly discovered agent, Mycobacterium lepromatosis. Though treatable with antibiotics, leprosy has still not been eradicated, and around 200,000 new ...
Location-based embedding is a fundamental problem to solve in location-based social network (LBSN). In this paper, we propose a geographical convolutional neural tensor network (GeoCNTN) as a generic embedding model. GeoCNTN first takes the raw location da ...
Tall structures such as wind turbines and mobile phone base stations are often installed in remote and hilly locations to gain more power or to have line of sight to end users. Those locations are usually very rocky and characterized by a low-conductivity ...