Spatio-temporal Predictive Analysis of Urban Data

This project aims the development of an environment for analysis, cleaning and visualization of large amounts of spatio-temporal urban data.

GeoGuide Environment

About

This project aims the development of an environment for analysis, cleaning and visualization of large amounts of spatio-temporal urban data. We also consider the definition of algorithms to detect possible unexpected events from the analysis of different datasets.

This project is a collaboration with Behrooz Omidvar-Tehrani from The University of Grenoble Alpes (France).

We will start analysing heterogeneous urban datasets (in CSV, XML and JSON formats) and design a JavaScript-based tool which imports these files and visualize the data on a geographical map. A JavaScript-based tool benefits from being portable, light, efficient and minimally dependent to the system configuration. We also consider defining a generic model for spatio-temporal data and propose recommendation and prediction algorithms.

The results of this project will be a web-based framework that shall be developed to validate the models and algorithms in this research work.

Members

Behrooz Omidvar-Tehrani

University of Grenoble Alpes
PhD in Computer Science (Grenoble University - France)