[ { "id": "Diehl_2021", "type_id": "journalpaper_notalk", "tu_id": 300516, "repositum_id": "20.500.12708/138614", "title": "Hornero: Thunderstorms Characterization using Visual Analytics", "date": "2021-06-29", "abstract": "Analyzing the evolution of thunderstorms is critical in determining the potential for the development of severe weather events. Existing visualization systems for short-term weather forecasting (nowcasting) allow for basic analysis and prediction of storm developments. However, they lack advanced visual features for efficient decision-making. We developed a visual analytics tool for the detection of hazardous thunderstorms and their characterization, using a visual design centered on a reformulated expert task workflow that includes visual features to overview storms and quickly identify high-impact weather events, a novel storm graph visualization to inspect and analyze the storm structure, as well as a set of interactive views for efficient identification of similar storm cells (known as analogs) in historical data and their use for nowcasting. Our tool was designed with and evaluated by meteorologists and expert forecasters working in short-term operational weather forecasting of severe weather events. Results show that our solution suits the forecasters' workflow. Our visual design is expressive, easy to use, and effective for prompt analysis and quick decision-making in the context of short-range operational weather forecasting.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 780, "image_height": 304, "name": "Diehl_2021-Image.JPG", "type": "image/jpeg", "size": 48560, "path": "Publication:Diehl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 5275, 1529, 1184, 166, 161 ], "doi": "10.1111/cgf.14308", "first_published": "2021-06-29", "journal": "Computer Graphics Forum", "number": "3", "open_access": "yes", "pages_from": "1", "pages_to": "12", "volume": "40", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 780, "image_height": 304, "name": "Diehl_2021-Image.JPG", "type": "image/jpeg", "size": 48560, "path": "Publication:Diehl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Diehl_2021-Paper.pdf", "type": "application/pdf", "size": 54133751, "path": "Publication:Diehl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/", "__class": "Publication" }, { "id": "waldner-2019-rld", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Comparison of Radial and Linear Charts for Visualizing Daily Patterns", "date": "2019-10", "abstract": "Radial charts are generally considered less effective than linear charts. Perhaps the only exception is in visualizing periodical time-dependent data, which is believed to be naturally supported by the radial layout. It has been demonstrated that the\ndrawbacks of radial charts outweigh the benefits of this natural mapping. Visualization of daily patterns, as a special case, has not been systematically evaluated using radial charts. In contrast to yearly or weekly recurrent trends, the analysis of daily patterns on a radial chart may benefit from our trained skill on reading radial clocks that are ubiquitous in our culture. In a crowd-sourced experiment with 92 non-expert users, we evaluated the accuracy, efficiency, and subjective ratings of radial and linear charts for visualizing daily traffic accident patterns. We systematically compared juxtaposed 12-hours variants and single 24-hours variants for both layouts in four low-level tasks and one high-level interpretation task. Our results show that over all tasks, the most elementary 24-hours linear bar chart is most accurate and efficient and is also preferred by the users. This provides strong evidence for the use of linear layouts – even for visualizing periodical daily patterns.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Daily patterns visualized in a 24-hours radial chart. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 497, "image_height": 474, "name": "waldner-2019-rld-teaser.png", "type": "image/png", "size": 53565, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1121, 581, 1204, 1122, 235 ], "cfp": { "name": "IEEE VIS 2019 Call For Participation.pdf", "type": "application/pdf", "error": "0", "size": "545751", "orig_name": "IEEE VIS 2019 Call For Participation.pdf", "ext": "pdf" }, "date_from": "2019-10-20", "date_to": "2019-10-25", "doi": "10.1109/TVCG.2019.2934784", "event": "IEEE VIS InfoVis", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1110 ], "location": "Vancouver, Canada", "pages_from": "1033", "pages_to": "1042", "volume": "26", "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "radial charts", "time series data", "daily patterns", "crowd-sourced experiment" ], "weblinks": [ { "href": "https://vimeo.com/371939694", "caption": "Presentation recording from IEEE VIS 2019 (VGTC Vimeo)", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-paper.pdf", "type": "application/pdf", "size": 892625, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper:thumb{{size}}.png" }, { "description": "Powerpoint slides of presentation at IEEE VIS 2019 (do not contain animations and videos). ", "filetitle": "slides ", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-slides .pdf", "type": "application/pdf", "size": 12853249, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides .pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides :thumb{{size}}.png" }, { "description": "Supplemental information about the user study", "filetitle": "supplement", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-supplement.pdf", "type": "application/pdf", "size": 2511402, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement:thumb{{size}}.png" }, { "description": "Daily patterns visualized in a 24-hours radial chart. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 497, "image_height": 474, "name": "waldner-2019-rld-teaser.png", "type": "image/png", "size": 53565, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video preview", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-video preview.mp4", "type": "video/mp4", "size": 3082628, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/", "__class": "Publication" }, { "id": "Diehl-2017-Albero", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting", "date": "2017-10", "abstract": "Probabilistic weather forecasts are amongst the most popular ways to quantify numerical forecast uncertainties. The analog\nregression method can quantify uncertainties and express them as probabilities. The method comprises the analysis of errors\nfrom a large database of past forecasts generated with a specific numerical model and observational data. Current visualization\ntools based on this method are essentially automated and provide limited analysis capabilities. In this paper, we propose a novel\napproach that breaks down the automatic process using the experience and knowledge of the users and creates a new interactive\nvisual workflow. Our approach allows forecasters to study probabilistic forecasts, their inner analogs and observations, their\nassociated spatial errors, and additional statistical information by means of coordinated and linked views. We designed the\npresented solution following a participatory methodology together with domain experts. Several meteorologists with different\nbackgrounds validated the approach. Two case studies illustrate the capabilities of our solution. It successfully facilitates the\nanalysis of uncertainty and systematic model biases for improved decision-making and process-quality measurements.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 1396, 1122, 235, 166, 161 ], "date_from": "2017", "date_to": "2017", "doi": "10.1111/cgf.13279", "event": "Pacific Graphics 2017", "journal": "Computer Graphics Forum 36(7) 135-144 (2017)", "lecturer": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Diehl-2017-Albero-paper.pdf", "type": "application/pdf", "size": 29579036, "path": "Publication:Diehl-2017-Albero", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/", "__class": "Publication" }, { "id": "Diehl_2015", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Albero: A Visual Analytics Tool for Probabilistic Weather Forecasting.", "date": "2015-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 1396, 235, 1122, 741, 166, 161 ], "date_from": "2015-11", "date_to": "2015-11", "event": "Poster at Workshop Big Data & Environment", "location": "University of Buenos Aires", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Diehl_2015/", "__class": "Publication" }, { "id": "Bruckner_Stefan_2015_VAS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting", "date": "2015-05", "abstract": "Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For\nthis reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical\nWeather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization\nof geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a\nvisualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose,\nwe provide an interactive visualization interface that guides users from simple visual overviews to more advanced\nvisualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an\nintegrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram.\nTwo key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The\nlatter provides novel functionality that allows users to specify and search for meaningful patterns in the data.\nThe visual interface of our solution allows users to detect both possible weather trends and errors in the weather\nforecast model.We illustrate the usage of our solution with a series of case studies that were designed and validated\nin collaboration with domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 166, 161 ], "booktitle": "Computer Graphic Forum", "date_from": "2015-05-25", "date_to": "2015-05-29", "lecturer": [ 161 ], "location": "Cagliari, Sardinia, Italy", "pages_from": "381", "pages_to": "390", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bruckner_Stefan_2015_VAS-Paper.pdf", "type": "application/pdf", "size": 2391385, "path": "Publication:Bruckner_Stefan_2015_VAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/Bruckner_Stefan_2015_VAS-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/Bruckner_Stefan_2015_VAS-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/", "__class": "Publication" }, { "id": "diehl-2013-VTA", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Visual Trend Analysis in Weather Forecast", "date": "2013-10", "abstract": "Weather conditions affect multiple aspects of human life such as\r\neconomy, safety, security, and social activities. Weather forecast\r\nsignificantly influences decision and policy making, construction\r\nplanning, productivity, and environmental risk management.\r\nVisualization of weather conditions and trends assists the anticipation\r\nof unexpected meteorological events and thus helps with\r\nappropriate actions and mitigation systems to minimize the impact\r\nof them on human life and activities.\r\nIn this work, we propose an interactive approach for visual analysis\r\nof weather trends and forecast errors in short-term weather\r\nforecast simulations. Our solution consists of a multi-aspect system\r\nthat provides different methods to visualize and analyze multiple\r\nruns, time-dependent data, and forecast errors. A key contribution\r\nof this work is the comparative visualization technique that allows\r\nusers to analyze possible weather trends and patterns.\r\nWe illustrate the usage of our approach with a case study designed\r\nand validated in conjunction with domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Poster summary", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 982, "preview_image_height": 491, "name": "diehl-2013-VTA-paper.pdf", "type": "application/pdf", "size": 1561548, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-paper:preview.png", "preview_type": "image/png", "preview_size": 239864, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 161, 166, 1122, 1123 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE VIS 2013 Conference", "location": "Atlanta, Georgia, USA", "research_areas": [], "keywords": [ "Interactive Visual Analysis", "Comparative Visualization", "Weather Forecast Research" ], "weblinks": [], "files": [ { "description": "Poster summary", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 982, "preview_image_height": 491, "name": "diehl-2013-VTA-paper.pdf", "type": "application/pdf", "size": 1561548, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-paper:preview.png", "preview_type": "image/png", "preview_size": 239864, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper:thumb{{size}}.png" }, { "description": "Demo", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "diehl-2013-VTA-video.mp4", "type": "video/mp4", "size": 7132586, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-video:preview.png", "preview_type": "image/jpeg", "preview_size": 32911, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:video.mp4" }, { "description": "Fast Forward", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "diehl-2013-VTA-video.wmv", "type": "application/octet-stream", "size": 7379236, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-video:preview.png", "preview_type": "image/jpeg", "preview_size": 32911, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:thumb{{size}}.png" } ], "projects_workgroups": [ "External" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/", "__class": "Publication" } ]