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A new study explores landscape preference globally. Led by Alex Dunkel of TU Dresden, this paper explores who, how and where sunset and sunrise is captured by two popular social media platforms, Flickr and Instagram. We use a privacy preserving approach to in the analysis, which was carried out as part of the EVA-VGI-2 project funded by the DFG and SNF, as part of the VGI-Science SPP.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280423
Finding natural language which describes landscape can be like looking for a needle in a haystack. Manuel Baer used contributions to Window Expeditions and sentence transformers to find similar descriptions.
Baer, M.F., Purves, R.S. Identifying Landscape Relevant Natural Language using Actively Crowdsourced Landscape Descriptions and Sentence-Transformers. Künstl Intell (2023).
https://doi.org/10.1007/s13218-022-00793-3
Newspapers, travel diaries, policy documents and even fiction offer rich material capturing relationships between people and surroundings. A new book explores the possibilities and advances in computational analysis of natural language – for newcomers to the field as well as for experienced researchers.
The book is designed to be of interest to newcomers to the field and experienced researchers, and set out in a way that it can be used as an accompanying text for graduate level courses in, for example, geography, environmental history or the digital humanities.
Ross S. Purves, Olga Koblet, Benjamin Adams (eds.) 2022. Unlocking Environmental Narratives: Towards Understanding Human Environment Interactions through Computational Text Analysis. London: Ubiquity Press.
Download it, completely free, in multiple formats: https://doi.org/10.5334/bcs
