Outputs (2)

Predicting environmental features by learning spatiotemporal embeddings from social media (2019)
Journal Article

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)
Presentation / Conference Contribution

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.