Visualization of Spatio-Temporal Relations in Movement Event Using Multi-View

Abstract

ABSTRACT:Spatio-temporal relations among movement events extracted from temporally varying trajectory data can provide useful information about the evolution of individual or collective movers, as well as their interactions with their spatial and temporal contexts. However, the pure statistical tools commonly used by analysts pose many difficulties, due to the large number of attributes embedded in multiscale and multi-semantic trajectory data. The need for models that operate at multiple scales to search for relations at different locations within time and space, as well as intuitively interpret what these relations mean, also presents challenges. Since analysts do not know where or when these relevant spatio-temporal relations might emerge, these models must compute statistical summaries of multiple attributes at different granularities. In this paper, we propose a multi-view approach to visualize the spatio-temporal relations among movement events. We describe a method for visualizing movement events and spatio-temporal relations that uses multiple displays. A visual interface is presented, and the user can interactively select or filter spatial and temporal extents to guide the knowledge discovery process. We also demonstrate how this approach can help analysts to derive and explain the spatiotemporal relations of movement events from taxi trajectory data.

Ontology and Software Tools for the Formalization of the Visualisation of Cultural Heritage Knowledge Graphs

“…Its content is based on the analysis presented in this paper on visualising cultural heritage data and formalising the visualisation of knowledge graph content information. In addition, this study is supported by a review of state-of-the-art data visualisation [23][24][25][26]. This model is based on the following two concepts:…”