Redirigiendo al acceso original de articulo en 17 segundos...
ARTÍCULO
TITULO

Modeling Spatio-Temporal Evolution of Urban Crowd Flows

Kun Qin    
Yuanquan Xu    
Chaogui Kang    
Stanislav Sobolevsky and Mei-Po Kwan    

Resumen

No disponible

 Artículos similares

       
 
Charalampos Skoulikaris, Panagiota Venetsanou, Georgia Lazoglou, Christina Anagnostopoulou and Konstantinos Voudouris    
Triggering hydrological simulations with climate change gridded datasets is one of the prevailing approaches in climate change impact assessment at a river basin scale, with bias correction and spatio-temporal interpolation being functions routinely used... ver más
Revista: Water

 
Juglar Diaz, Felipe Bravo-Marquez and Barbara Poblete    
The popularity of mobile devices with GPS capabilities, along with the worldwide adoption of social media, have created a rich source of text data combined with spatio-temporal information. Text data collected from location-based social networks can be u... ver más

 
Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng and Xican Wang    
The next point-of-interest (POI) recommendation is one of the most essential applications in location-based social networks (LBSNs). Its main goal is to research the sequential patterns of user check-in activities and then predict a user?s next destinati... ver más

 
Zheng Li, Xueyuan Huang, Chun Liu and Wei Yang    
As the core of location-based social networks (LBSNs), the main task of next point-of-interest (POI) recommendation is to predict the next possible POI through the context information from users? historical check-in trajectories. It is well known that sp... ver más

 
Xuehua Han and Juanle Wang    
Public behavior in cyberspace is extremely sensitive to emergency disaster events. Using appropriate methodologies to capture the semantic evolution of social media users? behaviors and discover how it varies across geographic space and time still presen... ver más