|
|
|
|
|
Ju Peng, Huimin Liu, Jianbo Tang, Cheng Peng, Xuexi Yang, Min Deng and Yiyuan Xu
As a hot research topic in urban geography, spatiotemporal interaction analysis has been used to detect the hotspot mobility patterns of crowds and urban structures based on the origin-destination (OD) flow data, which provide useful information for urba...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuhui Zeng, Shu Wang, Yunqiang Zhu, Mengfei Xu and Zhiqiang Zou
The recommendation system is one of the hotspots in the field of artificial intelligence that can be applied to recommend suitable ecological patterns for the countryside. Countryside ecological patterns mean advanced patterns that can be recommended to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinyu Guo and Lizhen Wang
The goal of spatial co-location pattern mining is to find subsets of spatial features whose instances are often neighbors in a geographical space. In many practical cases, instances of spatial features contain not only spatial location information but al...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Kang, Changcheng Kan and Zhongjie Lin
With the rapid development of electric vehicles (EVs) around the world, debates have arisen with regard to their impacts on people?s lifestyles and urban space. Mining spatio-temporal patterns from increasingly smart city sensors and personal mobile devi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaogang Guo, Zhijie Xu, Jianqin Zhang, Jian Lu and Hao Zhang
Origin-destination (OD) flow pattern mining is an important research method of urban dynamics, in which OD flow clustering analysis discovers the activity patterns of urban residents and mine the coupling relationship of urban subspace and dynamic causes...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhewei Liu, Xiaolin Zhou, Wenzhong Shi and Anshu Zhang
Detecting events using social media data is important for timely emergency response and urban monitoring. Current studies primarily use semantic-based methods, in which “bursts” of certain semantic signals are detected to identify emerging ev...
ver más
|
|
|
|
|
|