The percentage of processed large-scale heterogeneous data is exploding and technology
is the most obvious reason for the big data issue. Nowadays, the results of data expansion …

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 …

Multilevel co-location patterns embedded in spatial datasets are difficult to discern due to the
complexity of neighboring relationships among spatial features. The neighboring …

Regions of anomalous spatial co-locations (ROASCs) are regions where co-locations
between two different features are significantly stronger or weaker than expected. ROASC …

In this paper, we propose a cut-edge algorithm for spatial clustering (CutESC) based on
proximity graphs. The CutESC algorithm removes edges when a cut-edge value for the …

The development of unmanned aerial vehicle (UAV) oblique photogrammetric technology
provides a good foundation for the rapid construction of large-scale and high-definition real …

The detection of spatial clusters, taking into account both spatial proximity and attribute
similarity, plays a vital role in spatial data analysis. Although several dual clustering methods …

Spatial point events are a series of point entities with location information (eg, longitude and
latitude) that describe geographical events, such as crime events. The detection of outliers …

The elevation interpolation of coal seam floors is an indispensable geological work to the
production of coal mines. In this study, an improved radial basis function (RBF) interpolation …

In massive Twitter datasets, tweets deriving from different domains, eg, civil unrest, can be
extracted to constitute spatio-temporal Twitter events for spatio-temporal distribution pattern …