In various scientific and industrial domains, analyzing multivariate spatial data, ie, vectors
associated with spatial locations, is common practice. To analyze those datasets, analysts …

Modern science and industry rely on computational models for simulation, prediction, and
data analysis. Spatial blind source separation (SBSS) is a model used to analyze spatial …

While traditional approaches in visual analytics (VA) prioritize insight generation and
knowledge discovery, we argue that user-generated artefacts—annotations, model …

In responsible AI development, the construction of AI systems with well-designed
transparency and the capability to achieve transparency-adaptive adjustments necessitates …

Conclusion Page 1 Chapter 8 Conclusion All the pieces are there – huge amounts of
information, a great need to clearly and accurately portray them, and the physical means for …

Visual Analytics (VA) is essential for supporting insight generation and knowledge discovery
in complex data analysis tasks. However, traditional approaches often overlook the value of …

Generative AI gained great popularity in recent years and it is important that the users
understand how the input parameters of such models relate to the generated output. The …