The assessment of corporate sustainability performance is extremely relevant in facilitating
the transition to a green and low-carbon intensity economy. However, companies located in …

Spatio-temporal clustering occupies an established role in various fields dealing with
geospatial analysis, spanning from healthcare analysis to environmental science. One major …

This study utilizes the Dynamic Conditional Correlation-Generalized Autoregressive
Conditional Heteroskedasticity (DCC-GARCH) model to investigate the dynamic relationship …

We provide a general framework for the definition of dissimilarity measures to cluster
dependent random variables. A copula-based pairwise dissimilarity measure that takes into …

Numerous organizations regularly produce enormous volumes of geospatial data due to the
widespread use of sensors and location-based services. However, traditionally collecting …