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Authors: Devan G. Becker, W. John Braun, Charmaine B. Dean, Douglas G. Woolford
Title: [download]
(3911)
Visualizing Multivariate Time Series of Aerial Fire Fighting Data
Reference: Vol. 9, Issue 1, Sep 2019
Submitted 2018-11-14, Accepted 2019-09-15
Type: Article
Abstract:

Aerial wildland fire fighters have a unique challenge. They are able to fill their tank with water via a nearby body of water, drop this water on a fire, then return to repeat this process. For a given fire, the replications of the fills and drops are multivariate time series measured in space, and this data structure allows us to compare replications over space and time. We use control chart methodologies to determine which time series were unlike the others, then examine the data from both a univariate and a multivariate viewpoint to determine potential causes.

Paper: [download]
(3911)
Visualizing Multivariate Time Series of Aerial Fire Fighting Data
(application/pdf, 1.4 MB)
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Paper: Creative Commons Attribution 3.0 Unported License
Code: Commons GNU General Public License License
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