BUILDING A DIGITAL TWIN OF THE ITALIAN COASTS

Abstract. The "Destination Earth" initiative of the European Union encompasses the creation of Digital Twin Earths (DTEs), high-precision digital models of the Earth integrating various aspects of the Earth's system to monitor and simulate natural phenomena and related human activities, being able to explore the past, understand the present, and build predictive models of the future. To achieve this goal, huge amounts of good-quality data are necessary, but also, means to combine and add further utility to them.To tackle this problem, we created a novel web application that implements the mediator-wrapper architecture as a data integration strategy and uses only open-source software to put together more than 60 geospatial layers from 3 different data sources. This application is a proof of concept of how data integration can be used to implement Digital Twins and is focused solely on the Italian coasts. It integrates data from Copernicus and WorldPop to provide tools for analysing and describing the interaction of marine, land, and demographic variables on coastal areas. It offers both visualization and analysis capabilities, which is a unique feature amongst similar applications, thanks to the implementation of virtual data integration and geospatial data standards

GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY

Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administration of a smart city. The geo-spatial data requirements, increasing volumes, varying formats and quality standards, present challenges in managing, storing, visualising and analysing the data. A survey covering GV and VA of the geo-spatial data collected from a smart city helps to portray the potential of such techniques, which is still required. Therefore, this survey presents GV and VA techniques for the geo-spatial urban data represented in terms of location, multi-dimensions including time, and several other attributes. Further, the current study provides a comprehensive review of the existing literature related to GV and VA from cities, highlighting the important open white spots for the cities’ geo-spatial data handling in term of visualisation and analytics. This will aid to get a better insight into the urban system and enable sustainable development of the future cities by improving human interaction with the geo-spatial data