Abstract
As the number, size, and complexity of ecological data sets have increased, narrative and interactive raw data visualizations have emerged as important tools for exploring and understanding these large data sets. 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 data set, 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 crossfilters that allow users to explore multivariate relationships in the data set. 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.
| Original language | English |
|---|---|
| Pages (from-to) | 241-248 |
| Number of pages | 8 |
| Journal | Fisheries |
| Volume | 43 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2018 |
Funding
Long-term PIT tag studies require highly dedicated and talented personnel. We thank the many employees, colleagues, and volunteers who have helped sample our study streams over the years. Support has been provided by the U.S. Geological Survey Conte Anadromous Fish Research Center, The Nature Conservancy, the U.S. Forest Service, the U.S. Fish and Wildlife Service, the National Park Service, and the University of Massachusetts–Amherst. We thank Dan McGarvey for extremely detailed comments and suggestions that markedly improved a manuscript draft. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. There is no conflict of interest declared in this article.
| Funders |
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| U.S. Forest Service-Retired |