多模态地理大数据时空分析旨在融合地理大数据的多模态信息发现有价值的时空分布规律,
异常表现, 关联模式与变化趋势, 是全空间信息系统的核心研究内容, 并有望成为推进地理学人地 …

The presence of global spatial autocorrelation usually leads to the spurious identification of
spatial hotspots and hinders the identification of local hotspots. Despite the use of statistical …

When getting on and off the taxis, people prefer to choose around landmarks, such as a
shopping mall, the gate of a residential unit, or a road intersection. This preference leads to …

The roll-out of 5G infrastructure can provide enhanced high capacity, low latency
communications enabling a range of new use cases. However, to deliver the improvements …

Research on clustering spatio-temporal data to extract mobility patterns requires further
development, as most existing studies do not simultaneously integrate data along both …

The concept of “digital twin” has recently gained popularity due to its ability to create a virtual
representation of systems in order to improve the performance of its cyber-physical …

The pattern of the object movement is periodic, but there occur few uncertainty issues during
tracking and locating the movable object. Moreover, discovering the hidden periodic pattern …

This work proposes a novel method for the application of cluster analysis to climatology. The
new method groups similar years regarding total values of precipitation and distribution …

Atualmente, as mais diversas áreas da ciência buscam no passado dados para entender o
presente e construir o futuro, indicando como a história é importante em nossas vidas. No …

The technologies of the present era produce large amount of spatiotemporal data related to
various fields. Clustering is a tool to extract useful information from the large repository of …