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Supplementary materials for the publication "Generative text-to-image diffusion for map creation based on geosocial media data."
Subtitle: Release v1.0.0
Metadaten
| Ergänzende Titel | Subtitle: Release v1.0.0 | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | dfg - Funder | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | Burghardt, Dirk (ORCID: 0000-0003-2949-4887) - ProjectLeader | |
| Für den Inhalt der Forschungsdaten verantwortliche Person(en) | Dunkel, Alexander (ORCID: 0000-0003-1157-7967) | |
| Für den Inhalt der Forschungsdaten verantwortliche Person(en) | Gugulica, Madalina (ORCID: 0000-0003-4835-0088) | |
| Beschreibung der weiteren Datenverarbeitung | We demonstrate an integrated workflow that uses text-to-image Stable Diffusion as its core to automatically produce icon maps. The provided workflow is based on aggregating geosocial media data from Twitter, Flickr, Instagram, and iNaturalist. This data is used to account for the population's collective attribution of meaning and importance in map generation. The complete code to reproduce the workflow is shared in several Jupyter notebooks herein. | |
| Art der Erhebung der Daten | Other: Data query from public Application Programming Interfaces (APIs). | |
| Verwendete Forschungsinstrumente | Carto-Lab Docker v0.15.7 (https://gitlab.vgiscience.de/lbsn/tools/jupyterlab) | |
| Verwendete Forschungsinstrumente | TUD ZIH HPC Cluster, alpha-interactive | |
| Zugrundeliegende Forschungsobjekte | People: Aggregated, clustered, privacy-friendly geosocial media data | |
| Kurzbeschreibung | Supporting Information for the publication "Generative text-to-image diffusion for map creation based on geosocial media data"(Release v1.0.0). Updates from the peer review process may not be reflected in this submission. The original git repository with the latest versions can be found at https://gitlab.hrz.tu-chemnitz.de/ad/mapnik_stablediffusion | |
| Angewendete Methoden oder Verfahren | The workflow to load and process the data provided is available in Jupyter Notebooks. | |
| Weitere erklärende Angaben zu den Daten | The base data is from Stability AI, Stable Diffusion 1.5, which was trained on LAION-5B (Schuhmann et al. 2022), a dataset consisting of 5.85 billion images scraped from the web. | |
| Inhaltsverzeichnis | The repository contains: - Input Data: Shapefiles, Word2Vec Language Model, Intermediate files - 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) - Chore: Other files necessary to reproduce figures and output | |
| Gebiete, auf die sich die Daten beziehen | Großer Garten Dresden, Campus TU Dresden | |
| Länder, auf die sich die Daten beziehen | GERMANY | de |
| Koordinaten von Orten, auf die sich die Daten beziehen | 51.038885, 13.761159 | |
| Region(en) auf die sich die Daten beziehen | Sachsen | |
| Weitere Schlagwörter | jupyter, code, visualization, generative, map, social media | |
| Sprache | eng | |
| Entstehungsjahr oder Entstehungszeitraum | 2023 | |
| Veröffentlichungsjahr | 2023 | |
| Herausgeber | Technische Universität Dresden | |
| Herausgeber | Institut für Kartographie | |
| Referenzen auf ergänzende Materialien | IsPartOf: 123456789/5970 (Handle) | |
| Inhalt der Forschungsdaten | Text, Image, Presentation, Dataset, Model, Software, Workflow: The repository contains: - Input Data: Shapefiles, Word2Vec Language Model, Intermediate files - 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) - Chore: Other files necessary to reproduce figures and output | |
| Inhaber der Nutzungsrechte | Technische Universität Dresden | |
| Nutzungsrechte des Datensatzes | CC-BY-4.0 | |
| Eingesetzte Software | Resource Production: Stable-Diffusion 1.5 | |
| Angabe der Fachgebiete | Geography | de |
| Angabe der Fachgebiete | Geological Science | de |
| Angabe der Fachgebiete | Computer Science | de |
| Angabe der Fachgebiete | Environmental Science and Ecology | de |
| Titel des Datensatzes | Supplementary materials for the publication "Generative text-to-image diffusion for map creation based on geosocial media data." |
Dateien zu dieser Ressource
Die Datenpakete erscheinen in:
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Supporting Information: Generative text-to-image diffusion for map creation based on geosocial media data. [1]
This collection contains Supporting Information for the publication "Supporting Information: Generative text-to-image diffusion for map creation based on geosocial media data." (Kartographische Nachrichten)