1 / 16

VESPER V isual E xploration of Spe cies- R eferenced Repositories

Explore data quality issues in Darwin Core Archives (DWCA) through web-based visualizations, leveraging HTML5, SVG, CSS3, and D3 toolkit.

beverleyl
Download Presentation

VESPER V isual E xploration of Spe cies- R eferenced Repositories

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. VESPERVisual Exploration of Species-Referenced Repositories Martin Graham & Jessie Kennedy Edinburgh Napier University

  2. Introduction • VESPER – an exploration into data quality issues for Darwin Core Archives (DWCA) • DWCA’s are files for storing detailed species-based data sets • How does a user know which data sets are useful and complete?

  3. Valid vs. Useful • GBIF has tools to test DWCA validity • This work is about visualising data we assume is “valid” but are unsure of “usefulness” • Taxonomy is broken • Dates are wrong • Lions in the sea • In many cases the usefulness of such data is only seen when visualised in context

  4. Approach • Web-based visualisation of DWCAs • Uses HTML5 • SVG, CSS3, FileWriters, ArrayBuffers • D3 toolkit • Client side only • Visualise basic dimensions of data • Taxonomy • Geography • Time • & Miscellaneous Stats

  5. Darwin Core Archives Data Files (CSV) Exactly one Zero or more Meta Files (XML) Core Taxa/Occurrence Data Eml.xml Extension ID == Core ID Extension Describes Meta.xml Extension

  6. Zapped by Zip • Zip files make things smaller • Good for network transport • But analysing the data means we have to make things big again Expand even more (String copying, UTF-16 etc) Expand a lot

  7. Zip Zapped • Partial Unzip • Analyse fields listed in meta file • Disregard verbose fields • Find combinations of fields that can be used to generate a visualisation • List choice of available visualisations for a meta.xml and just extract chosen fields

  8. Taxonomy • Sunburst / Icicle plot • Some difficulties with high fan-out taxa • Though a lot of these are data quality issues

  9. Taxonomy • Sunburst / Icicle plot • Some difficulties with high fan-out taxa • Though a lot of these are data quality issues

  10. Geography • Based on popular leaflet.js library • And Markercluster plugin • Some adaptations to show selected items

  11. Temporal • Simple bar chart • With rangeslider • Zoom in and see yearly patterns (i.e not much at xmas)

  12. Miscellaneous • Sanity check - Empty data count

  13. Miscellaneous • Taxonomic fan-out for hollow curve anomalies • Export selected IDs • These can be saved or sent somewhere else

  14. Selection • Selections in one view are reflected in the other views for the same data • Multiple views, linking

  15. Conclusion • Javascript visualisations for DWCA archives • Quickly shows areas of quality issue • Can handle large archives if only key fields are analysed

  16. Fin • http://www.soc.napier.ac.uk/~cs22/vesperDemo/vesper/demoNew.html • Feedback welcome • Thanks to GBIF, Canadensys, EMBL for data • Funded by BBSRC • Ask for a demo

More Related