Auflistung nach Schlagwort "hierarchical data"
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- KonferenzbeitragInnovative form generator for recording complex support programmes(44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Aue, Alexander; Ackermann, Andrea; Röder, NorbertIn an effort to incentivize environmental protection actions among farmers, different administrations offer various support programmes. These programmes differ between states, change over time and are published in non-machine-readable formats. Since the lack of a nationwide database hampers the comprehensive evaluation of these programmes, we propose a flexible form generator for standardizing the programme descriptions. Our tool meets the needs of researchers as it facilitates the transformation of text-based definitions to a well-structured relational database with its graphical questionnaire user interface. Redundancies in data input are avoided by allowing the collected data of a support program to be inherited by another and to extend it by additional properties or overwriting existing ones. Furthermore, it accommodates complex data collection needs, supporting limitless sub-questions and customized input fields. The resulting hierarchical data is automatically stored in a relational database, ensuring a user-friendly experience both for quantitative researchers and data analysts. This innovative approach enhances the evaluation of e.g. environmental protection programmes.
- ZeitschriftenartikelUncertainty visualization: Fundamentals and recent developments(it - Information Technology: Vol. 64, No. 4-5, 2022) Hägele, David; Schulz, Christoph; Beschle, Cedric; Booth, Hannah; Butt, Miriam; Barth, Andrea; Deussen, Oliver; Weiskopf, DanielThis paper provides a brief overview of uncertainty visualization along with some fundamental considerations on uncertainty propagation and modeling. Starting from the visualization pipeline, we discuss how the different stages along this pipeline can be affected by uncertainty and how they can deal with this and propagate uncertainty information to subsequent processing steps. We illustrate recent advances in the field with a number of examples from a wide range of applications: uncertainty visualization of hierarchical data, multivariate time series, stochastic partial differential equations, and data from linguistic annotation.