Bernard, Jürgen; Wilhelm, Nils; Scherer, Maximilian; May, Thorsten; Schreck, Tobias (2012): Reference list of 120 datasets from time series station Payerne used for exploratory search. PANGAEA, https://doi.org/10.1594/PANGAEA.783598
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The analysis of time-dependent data is an important problem in many application domains, and interactive visualization of time-series data can help in understanding patterns in large time series data. Many effective approaches already exist for visual analysis of univariate time series supporting tasks such as assessment of data quality, detection of outliers, or identification of periodically or frequently occurring patterns. However, much fewer approaches exist which support multivariate time series. The existence of multiple values per time stamp makes the analysis task per se harder, and existing visualization techniques often do not scale well.
We introduce an approach for visual analysis of large multivariate time-dependent data, based on the idea of projecting multivariate measurements to a 2D display, visualizing the time dimension by trajectories. We use visual data aggregation metaphors based on grouping of similar data elements to scale with multivariate time series. Aggregation procedures can either be based on statistical properties of the data or on data clustering routines. Appropriately defined user controls allow to navigate and explore the data and interactively steer the parameters of the data aggregation to enhance data analysis. We present an implementation of our approach and apply it on a comprehensive data set from the field of earth bservation, demonstrating the applicability and usefulness of our approach.
Latitude: 46.815000 * Longitude: 6.944000
Date/Time Start: 1992-09-01T00:00:00 * Date/Time End: 1992-09-01T00:00:00
Minimum Elevation: 491.0 m * Maximum Elevation: 491.0 m
PAY (Payerne) * Latitude: 46.815000 * Longitude: 6.944000 * Date/Time: 1992-09-01T00:00:00 * Elevation: 491.0 m * Location: Switzerland * Campaign: WCRP/GEWEX * Method/Device: Monitoring station (MONS) * Comment: BSRN station no: 21; Surface type: cultivated; Topography type: hilly, rural; Horizon: doi:10.1594/PANGAEA.669523; Station scientist: Laurent Vuilleumier (email@example.com)
The dataset contains 120 links (childs) to any of the BSRN Payerne datasets. Any user who accepts the BSRN data release guidelines (http://bsrn.awi.de/data/conditions-of-data-release) may ask Gert König-Langlo (Gert.Koenig-Langlo@awi.de) to obtain an account to download these datasets.
480 data points