Abstract
The application potential of Visual Analytics (VA), with its supporting interactive 2D and 3D visualization techniques, in the environmental domain is unparalleled. Such advanced systems may enable an in-depth interactive exploration of multifaceted geospatial and temporal changes in very large and complex datasets. This is facilitated by a unique synergy of modules for simulation, analysis, and visualization, offering instantaneous visual feedback of transformative changes in the underlying data. However, even if the resulting knowledge holds great potential for supporting decision-making in the environmental domain, the consideration of such techniques still have to find their way to daily practice. To advance these developments, we demonstrate four case studies that portray different opportunities in data visualization and VA in the context of climate research and natural disaster management. Firstly, we focus on 2D data visualization and explorative analysis for climate change detection and urban microclimate development through a comprehensive time series analysis. Secondly, we focus on the combination of 2D and 3D representations and investigations for flood and storm water management through comprehensive flood and heavy rain simulations. These examples are by no means exhaustive, but serve to demonstrate how a VA framework may apply to practical research.
Highlights
Starting from a discussion of an interactive tool that supports 2D visual representations where we consider an in-depth analysis of multivariate time series data, we proceed to a discussion of an interactive simulation software where 2D and 3D visualizations are combined to provide an informed decision-support regarding a number of complex geospatial and temporal phenomena
Development order to to illustrate illustrate the degree that cancan be be InInorder degree of of urban urbanmicroclimate microclimatedevelopment development that discerned from the meteorological time series, we describe here a study conducted for the discerned from the meteorological time series, we describe here a study conducted for the cityofofVienna, Vienna,Austria
We considered elevation data originating from the Austrian open data initiative representing an Austrian city [31], where ground elevations are relative to the sea level
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Starting from a discussion of an interactive tool that supports 2D visual representations where we consider an in-depth analysis of multivariate time series data, we proceed to a discussion of an interactive simulation software where 2D and 3D visualizations are combined to provide an informed decision-support regarding a number of complex geospatial and temporal phenomena. These case studies portray different opportunities in data visualization and VA in the context of climate research and natural disaster management. Through our demonstration, we aim to advance these developments
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
