%0 Conference Paper %1 508aec6171ff4459a91346c2fa5f8214 %A Rodrigues, Nils %A Netzel, Rudolf %A Ullah, Kazi Riaz %A Burch, Michael %A Schultz, Alexander %A Burger, Bruno %A Weiskopf, Daniel %B Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI) %D 2017 %K 2017 B01 from:mueller sfbtrr161 vis(us) visus visus:burchml visus:netzelrf visus:rodrigns visus:weiskopf %P 37-44 %R https://doi.org/10.1145/3105971.3105982 %T Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants %U https://dl.acm.org/doi/10.1145/3105971.3105982 %X Visualizing time series data with a spatial context is a problem that appears more and more often, since small and lightweight GPS devices allow us to enrich the time series data with position information. One example is the visualization of the energy output of power plants. We present a web-based application that aims to provide information about the energy production of a specified region, along with location information about the power plants. The application is intended to be used as a solid data basis for political discussions, nudging, and story telling about the German energy transition to renewables, called "Energiewende". It was therefore designed to be intuitive, easy to use, and provide information for a broad spectrum of users that do not need any domain-specific knowledge. Users are able to select different categories of power plants and look up their positions on an overview map. Glyphs indicate their exact positions and a selection mechanism allows users to compare the power output on different time scales using stacked area charts or ThemeRivers. As an evaluation of the application, we have collected web access statistics and conducted an online survey with respect to the intuitiveness, usability, and informativeness.

@inproceedings{508aec6171ff4459a91346c2fa5f8214, abstract = {Visualizing time series data with a spatial context is a problem that appears more and more often, since small and lightweight GPS devices allow us to enrich the time series data with position information. One example is the visualization of the energy output of power plants. We present a web-based application that aims to provide information about the energy production of a specified region, along with location information about the power plants. The application is intended to be used as a solid data basis for political discussions, nudging, and story telling about the German energy transition to renewables, called "Energiewende". It was therefore designed to be intuitive, easy to use, and provide information for a broad spectrum of users that do not need any domain-specific knowledge. Users are able to select different categories of power plants and look up their positions on an overview map. Glyphs indicate their exact positions and a selection mechanism allows users to compare the power output on different time scales using stacked area charts or ThemeRivers. As an evaluation of the application, we have collected web access statistics and conducted an online survey with respect to the intuitiveness, usability, and informativeness.}, added-at = {2020-10-09T12:34:20.000+0200}, author = {Rodrigues, Nils and Netzel, Rudolf and Ullah, Kazi Riaz and Burch, Michael and Schultz, Alexander and Burger, Bruno and Weiskopf, Daniel}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c9736615b908e611da90065e63ae4f23/mueller}, booktitle = {Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI)}, description = {Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants}, doi = {https://doi.org/10.1145/3105971.3105982}, interhash = {9e55149294152097fec60fdbb208a309}, intrahash = {c9736615b908e611da90065e63ae4f23}, keywords = {2017 B01 from:mueller sfbtrr161 vis(us) visus visus:burchml visus:netzelrf visus:rodrigns visus:weiskopf}, pages = {37-44}, timestamp = {2020-10-09T10:34:20.000+0200}, title = {Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants}, url = {https://dl.acm.org/doi/10.1145/3105971.3105982}, year = 2017 }