<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Jeffrey D. Walker</dc:contributor>
  <dc:contributor>Matthew O'Donnell</dc:contributor>
  <dc:contributor>Andrew R. Whiteley</dc:contributor>
  <dc:contributor>Keith Nislow</dc:contributor>
  <dc:contributor>Jason Coombs</dc:contributor>
  <dc:creator>Benjamin H. Letcher</dc:creator>
  <dc:date>2018</dc:date>
  <dc:description>As the number, size and complexity of ecological datasets has increased, narrative and interactive raw data visualizations have emerged as important tools for exploring and understanding these large datasets. As a demonstration, we developed three visualizations to communicate and explore passive integrated transponder tag data from two long-term field studies. We created three independent visualizations for the same dataset, allowing separate entry points for users with different goals and experience levels. The first visualization uses a narrative approach to introduce users to the study. The second visualization provides interactive cross-filters that allow users to explore multi-variate relationships in the dataset. The last visualization allows users to visualize the movement histories of individual fish within the stream network. This suite of visualization tools allows a progressive discovery of more detailed information and should make the data accessible to users with a wide variety of backgrounds and interests.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1002/fsh.10067</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Wiley</dc:publisher>
  <dc:title>Three visualization approaches for communicating and exploring PIT tag data</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>