Completed
MoST: modeling querying and interactive visualization of spatiotemporal data
Acronym
MoST
Duration
Jun 2018 – Nov 2021
Funded by
FCT
Status
Completed
Synopsis / Objectives
This project focuses on the development of methods and tools for modeling and analyzing spatiotemporal data using continuous models of space and time. The key element is a data management system designed to model generic spatial transformations (e.g., shape’s transformation, movement or rotation of entities or objects) representing the evolution of the phenomena across time.
Results / Achievements
SPT DataLab: Best runner-up demo paper award, ACM SIG Spatial 2019.
Partners
INESC TEC, Porto (Portugal)
