VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

Bivariate functional data clustering: grouping streams based on a varying coefficient model of the stream water and air temperature relationship

Simple item page
dc.contributor.authorLi, H.en
dc.contributor.authorDeng, Xinweien
dc.contributor.authorDolloff, C. Andrewen
dc.contributor.authorSmith, Eric P.en
dc.contributor.departmentFish and Wildlife Conservationen
dc.contributor.departmentStatisticsen
dc.date.accessioned2020-04-24T18:49:51Zen
dc.date.available2020-04-24T18:49:51Zen
dc.date.issued2016-02en
dc.description.abstractA novel clustering method for bivariate functional data is proposed to group streams based on their water-air temperature relationship. A distance measure is developed for bivariate curves by using a time-varying coefficient model and a weighting scheme. This distance is also adjusted by spatial correlation of streams via the variogram. Therefore, the proposed distance not only measures the difference among the streams with respect to their water-air temperature relationship but also accounts for spatial correlation among the streams. The proposed clustering method is applied to 62 streams in Southeast US that have paired air-water temperature measured over a ten-month period. The results show that streams in the same cluster reflect common characteristics such as solar radiation, percent forest and elevation. Copyright (C) 2015 John Wiley & Sons, Ltden
dc.description.adminPublic domain – authored by a U.S. government employeeen
dc.description.notesWe thank Joe Cline for data collection and management, and the USFS Southern Research Station for support under JV 2010 11330140-137. Helpful comments from Hongxiao Zhu on the manuscript were appreciated.en
dc.description.sponsorshipUSFS Southern Research StationUnited States Department of Agriculture (USDA)United States Forest Service [JV 2010 11330140-137]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/env.2370en
dc.identifier.eissn1099-095Xen
dc.identifier.issn1180-4009en
dc.identifier.issue1en
dc.identifier.urihttp://hdl.handle.net/10919/97902en
dc.identifier.volume27en
dc.language.isoenen
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectbivariate functional dataen
dc.subjectvariogramen
dc.subjectvarying coefficient modelen
dc.subjectwater-air relationshipen
dc.subjectweighted distanceen
dc.titleBivariate functional data clustering: grouping streams based on a varying coefficient model of the stream water and air temperature relationshipen
dc.title.serialEnvironmetricsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
env.2370.pdf
Size:
2.62 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Scholarly Works, Statistics
Scholarly Works, Fish and Wildlife Conservation