The residential sector accounts for a large share of worldwide energy consumption, yet is difficult to characterise, since consumption profiles depend on several factors from geographical location to individual building occupant behaviour. Given this diffi ...
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 ...
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 ...
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 ...
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 ...