| Other contributing persons, institutions or organisations | dfg - Funder | |
| Other contributing persons, institutions or organisations | Burghardt, Dirk (orcid: 0000-0003-2949-4887) - ProjectLeader | |
| Person(s) who is (are) responsible for the content of the research data | Dunkel, Alexander | |
| Person(s) who is (are) responsible for the content of the research data | Burghardt, Dirk (ORCID: 0000-0003-2949-4887) | |
| Description of further data processing | The workflow to load and process the data provided is available in Jupyter Notebooks. | |
| Type of data acquisition | Other: Data query from public Application Programming Interfaces (APIs). | |
| Used research instruments or devices | Carto-Lab Docker v0.14.0 (https://gitlab.vgiscience.de/lbsn/tools/jupyterlab) | |
| Research objects | Other: Data query from public Application Programming Interfaces (APIs). | |
| Abstract | Supporting Information for the conference publication
> Event inventories: Estimating the temporality of landscape scenic resources from user-contributed geodata.
Updates may have been made since submission to Opara. The original git repository can be found here:
https://gitlab.hrz.tu-chemnitz.de/ad/ephemeral_events | |
| Applied methods and techniques | We use a workflow based on HyperLogLog (HLL) that was first demonstrated by Dunkel et al. [1], for studying user frequency of social media posts for various resolutions. HLL allowed us to reduce the data collection footprint to quantitative measurements early in the process. Consequently, the study illustrated here can be repeated without the need to store raw data, providing both performance and privacy benefits [1]. All quantities available through this data repository and reported in the paper are estimates, with guaranteed error bounds of ±2.30% [1]. [1]: Dunkel A, Löchner M, Burghardt D. Privacy-aware visualization of volunteered geographic information (VGI) to analyze spatial activity: a benchmark implementation. ISPRS Int J Geo-Information. 2020;9. doi:10.3390/ijgi9100607 | |
| Counties, the data is referencing | GERMANY | de |
| Counties, the data is referencing | UNITED STATES OF AMERICA | de |
| Language | eng | |
| Year or period of data production | 2023 | |
| Publication year | 2023 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsPartOf: 123456789/5929 (Handle) | |
| Content of the research data | Text, Image, Dataset, Software, Workflow: The repository contains:
- Input Data: CSVs (abstracted, privacy-friendly HyperLogLog data)
- Code: *.py
- Jupyter Notebooks: *.ipynb (Code)
- Jupyter Notebooks: *.md (code, comments)
- Jupyter Notebooks: *.html (code, comments, output, for archive purposes)
- Output: png (figures and graphics)
- Output: svg (selected figures and graphics)
- Output: pdf (svg, converted to pdf, for archive purposes)
- Chore: Other files necessary to reproduce figures and output | |
| Holder of usage rights | Technische Universität Dresden | |
| Usage rights of the data | CC-BY-NC-4.0 | |
| Discipline(s) | Geological Science | de |
| Discipline(s) | Environmental Science and Ecology | de |
| Title of the dataset | Supplementary materials for the publication "Event inventories: Estimating the temporality of landscape scenic resources from user-contributed geodata." | |
