Publication: Assessing perceived landscape change from opportunistic spatio-temporal occurrence data
Dunkel, A., Burghardt, D. (2024). Assessing Perceived Landscape Change from Opportunistic Spatiotempo- ral Occurrence Data. Special issue: Exploring Multisensory Landscapes: 2023 Visual Resource Stewardship Conference, Land 2024, 13, 1091. DOI
Overview: https://code.ad.ioer.info/wip/temporal_landscapes/
In this paper, we looked at several phenomena that emerge from the increasing use of technology and social media that affect landscape perception over time. We use the Social-Ecological-Technological System (SETS) framework (McPhearson et al. 2022) to systematize biases in five case studies and to assess perceived landscape change from different perspectives.
The findings support that trends such as fake news (Terren et al. 2021), social bubbles (Elmas et al. 2021), and GenAI are creating an “era of artificial illusions” (Casu et al. 2024) in which the senses are increasingly challenged to distinguish between the real and the imagined.
The final article: https://doi.org/10.3390/land13071091
The preprint:
https://www.preprints.org/manuscript/202407.0527/v1, DOI
The Gitlab repository:
https://gitlab.hrz.tu-chemnitz.de/ad/temporal_landscapes
Links to HTML-converted Notebooks
- S1 Jupyter Notebook: 01_mass_invasion.html
- S2 Jupyter Notebook: 02_reddit_api.html
- S3 Jupyter Notebook: 03_reddit_pmaw.html
- S4 Jupyter Notebook: 04_reddit_privacy.html
- S5 Jupyter Notebook: 05_reddit_vis.html
- S6 Jupyter Notebook: 06_cherry_blossoms.html
- S7 Jupyter Notebook: 07_hotspots.html
- S8 Jupyter Notebook: 08_milvus_conversion.html
- S9 Jupyter Notebook: 09_milvus_maps.html
- S10 Jupyter Notebook: 10_milvus_chi.html
Supplementary Data Publication
The Data repository submission:
https://opara.zih.tu-dresden.de/handle/123456789/806. DOI
How to cite the data repository submission:
- Dunkel, A.; Burghardt, D. Supplementary materials for the publication “Assessing Perceived Landscape Change from Opportunistic Spatio-Temporal Occurrence Data”. Opara digital research archive. DOI: 10.25532/OPARA-572.
In addition to Jupyter Notebook *.ipynb
files, code, comments, output graphics and chore; this also includes
the following data to reproduce findings:
Filename | Case Study | Description | Size |
---|---|---|---|
massinvasions_all_months.csv | 1 | Post Frequences (HLL) for 13 Vantage Points in Europe from Instagram | 1.08 MB |
reddit_all_months.csv | 2 | Post Frequences (HLL) for 20 National Parks from Reddit Subreddits | 429 KB |
reddit_comments_all_months.csv | 2 | Comment Frequences (HLL) for 20 National Parks from Reddit Subreddits | 1.2 MB |
flickr_cherries_hll.csv | 3 | Observed Frequencies (HLL) Users/Posts for Flickr Cherry Blossoming a | 181 KB |
hotspot_all_months.csv | 4 | Observed Frequencies Biodiversity Hotspots (HLL) | 8.81 MB |
flickr_all_months.csv | 5 | Expected Frequencies (HLL) for Flickr Post and User Counts | 941 KB |
inaturalist_all_months.csv | 5 | Expected Frequencies (HLL) for iNaturalist Post and User Counts | 990 KB |
flickr_milvusmilvus_months.csv | 5 | Observed Frequencies (HLL) for iNaturalist Milvus Post and User Counts | 119 KB |
milvus_focus_flickr_inat_all_months.csv | 5 | Observed Frequencies (HLL) Focus Region, iNaturalist and Flickr | 1.01 MB |
milvus_range_inat_all_months.csv | 5 | Observed Frequencies (HLL) Milvus range, iNaturalist and Flickr | 1.24 MB |
inaturalist_birds_month.csv | 5 | Expected/Observed Frequencies (HLL) Aves-Group, iNaturalist | 550 KB |
Full Resolution Figures and SVG
Below are the high resolution PNG and SVG I submitted to the journal.
Figures:
Appendices:
References
Casu, M.; Guarnera, L.; Caponnetto, P.; Battiato, S. GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions. Forensic Science International: Digital Investigation 2024, 50, 301795. DOI: 10.1016/j.fsidi.2024.301795.
Elmas, T.; Overdorf, R.; Özkalay, A. F.; Aberer, K. Ephemeral Astroturfing Attacks: The Case of Fake Twitter Trends. In 2021 IEEE European Symposium on Security and Privacy (EuroS&P); 2021; pp 403–422. DOI: 10.1109/EuroSP51992.2021.00035.
McPhearson, T.; Cook, E. M.; Berbés-Blázquez, M.; Cheng, C.; Grimm, N. B.; Andersson, E.; Barbosa, O.; Chandler, D. G.; Chang, H.; Chester, M. V.; Childers, D. L.; Elser, S. R.; Frantzeskaki, N.; Grabowski, Z.; Groffman, P.; Hale, R. L.; Iwaniec, D. M.; Kabisch, N.; Kennedy, C.; Markolf, S. A.; Matsler, A. M.; McPhillips, L. E.; Miller, T. R.; Muñoz-Erickson, T. A.; Rosi, E.; Troxler, T. G. A Social-Ecological-Technological Systems Framework for Urban Ecosystem Services. One Earth 2022, 5 (5), 505–518. DOI: 10.1016/j.oneear.2022.04.007.
Terren, L.; Borge-Bravo, R.; Echo Chambers on Social Media: A Systematic Review of the Literature. rev commun res 2021, 9, 99–118.