Migrant Capitals: Proposing a Multi-Level Spatio-Temporal Analytical Framework

tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data

The shot selection process in basketball can be thought of as an indicator of the identity of a player or a team. Characterization of these processes is important for player and team comparisons, as well as, for pre-game scouting. Typically, shot charts are compared in a heuristic manner. Recently though automated ways have appeared in the sports analytics literature that aim into identifying a...

Multi - Dimensional Modal Logi as a Framework for Spatio - Temporal

Exploratory spatio-temporal visualization: an analytical review

Current software tools for visualization of spatio-temporal data, on the one hand, utilize the opportunities provided by modern computer technologies, on the other hand, incorporate the legacy from the conventional cartography. We have considered existing visualization-based techniques for exploratory analysis of spatio-temporal data from two perspectives: (1) what types of spatio-temporal data...

Spatio-temporal Granger causality: A new framework

That physiological oscillations of various frequencies are present in fMRI signals is the rule, not the exception. Herein, we propose a novel theoretical framework, spatio-temporal Granger causality, which allows us to more reliably and precisely estimate the Granger causality from experimental datasets possessing time-varying properties caused by physiological oscillations. Within this framewo...

A Unified Framework for Fuzzy Spatio-Temporal

Recently, the interest has been focused on dynamic applications with geographic reference. These applications are commonly called as spatio-temporal applications and examine phenomena, which occur in specific geographical regions and change over time. In addition, data collected to model and analyze a phenomenon are accompanied with uncertainty. Current GIS technology turns out to be inefficien...