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Three visualization approaches for communicating and exploring PIT tag data

Fisheries

By:
ORCID iD , , , , , and
https://doi.org/10.1002/fsh.10067

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Abstract

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.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Three visualization approaches for communicating and exploring PIT tag data
Series title:
Fisheries
DOI:
10.1002/fsh.10067
Volume:
43
Issue:
5
Year Published:
2018
Language:
English
Publisher:
Wiley
Contributing office(s):
Leetown Science Center
Description:
8 p.
First page:
241
Last page:
248
Country:
United States
State:
Maine, Massachusetts
Other Geospatial:
Stanley Brook, West Brook