Unstructured data such as free text, images, sounds, and other media are less commonly used in biodiversity studies than structured information such as species occurrences. Nevertheless, these sources represent a rich stream of information, some of which is not generally available through more conventional sources. This information is of value for scientific, research, and conservation management use, as well as for communication and outreach to public and other audiences.

Species images are becoming increasingly available, due to a range of related factors including the rise of social media and photo sharing sites, increased support for digitization of collections from musea and other institutions, and the increased impetus to organise such media and make them freely available through networks such as GBIF.

This submission converts a collection of images into quantitative data on species colouration, and examines the taxonomic and spatial patterns in those data.

Built With

  • ala4r
  • other-r-packages
  • r
  • rgbif
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