Ordering points to identify the clustering structure (OPTICS) is a density-based clustering
algorithm that allows the exploration of the cluster structure in the dataset by outputting an …

In geo-related fields such as urban informatics, atmospheric science, and geography, large-
scale spatial time (ST) series (ie, geo-referred time series) are collected for monitoring and …

The visual modeling method enables flexible interactions with rich graphical depictions of
data and supports the exploration of the complexities of epidemiological analysis. However …

Most users are able to obtain exploratory ideas from a data table but cannot clearly declare
their analysis tasks as visual queries. Visualization recommendation methods can reduce …

Spatio-temporal evolution analysis has been a critical topic of air pollution research.
However, there are still several difficulties caused by the large scale and dimensionality of …

Predicting graduates' first destinations in advance is crucial for targeted career planning and
strategic curriculum development. The relationship between first destinations and academic …

Visual querying of spatiotemporal data has become a dominant mode in the field of visual
analytics. Previous studies have utilized well‐designed data structures to speed up the …

Clinic testing plays a critical role in containing infectious diseases such as COVID-19.
However, one of the key research questions in fighting such pandemics is how to optimize …

Comparative analysis plays a crucial role in real-world data analysis, especially when
dealing with multivariate data. Effcient comparison of hierarchies and node attributes …