All Outputs (3)

Exploiting Flickr meta-data for predicting environmental features (2019)
Thesis
Jeawak, S. Exploiting Flickr meta-data for predicting environmental features. (Thesis). Cardiff University. Retrieved from https://uwe-repository.worktribe.com/output/6004502

The photo-sharing website Flickr has become used as an informal information source in disciplines such as geography and ecology. Many recent studies have highlighted the fact that Flickr tags capture valuable ecological information, which can complem... Read More about Exploiting Flickr meta-data for predicting environmental features.

Predicting environmental features by learning spatiotemporal embeddings from social media (2019)
Journal Article
Jeawak, S. S., Jones, C. B., & Schockaert, S. (2020). Predicting environmental features by learning spatiotemporal embeddings from social media. Ecological Informatics, 55, https://doi.org/10.1016/j.ecoinf.2019.101031

Spatiotemporal modelling is an important task for ecology. Social media tags have been found to have great potential to assist in predicting aspects of the natural environment, particularly through the use of machine learning methods. Here we propose... Read More about Predicting environmental features by learning spatiotemporal embeddings from social media.

Embedding geographic locations for modelling the natural environment using flickr tags and structured data (2019)
Conference Proceeding
Jeawak, S. S., Jones, C. B., & Schockaert, S. (2019). Embedding geographic locations for modelling the natural environment using flickr tags and structured data. In Advances in Information Retrieval. , (51-66). https://doi.org/10.1007/978-3-030-15712-8_4

Meta-data from photo-sharing websites such as Flickr can be used to obtain rich bag-of-words descriptions of geographic locations, which have proven valuable, among others, for modelling and predicting ecological features. One important insight from... Read More about Embedding geographic locations for modelling the natural environment using flickr tags and structured data.