onr:"swepub:oai:DiVA.org:umu-130095"
Search: onr:"swepub:oai:DiVA.org:umu-130095" > Functional clusteri...
- 1 of 1
- Previous record
- Next record
- To hitlist
Functional clustering of varved lake sediment to reconstruct past seasonal climate
-
- Arnqvist, Per (author)
- Umeå universitet,Institutionen för matematik och matematisk statistik
-
- Bigler, Christian (author)
- Umeå universitet,Institutionen för ekologi, miljö och geovetenskap,Arcum
-
- Renberg, Ingemar (author)
- Umeå universitet,Institutionen för ekologi, miljö och geovetenskap
- show more...
- show less...
- (creator_code:org_t)
- 2016-07-19
- 2016
- English.
- In: Environmental and Ecological Statistics. - : Springer. - 1352-8505 .- 1573-3009. ; 23:4, s. 513-529
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Annually laminated (varved) lake sediments constitutes excellent environmental archives, and have the potential to play an important role for understanding past seasonal climate with their inherent annual time resolution and within-year seasonal patterns. We propose to use functional data analysis methods to extract the relevant information with respect to climate reconstruction from the rich but complex information in the varves, including the shapes of the seasonal patterns, the varying varve thickness, and the non-linear sediment accumulation rates. In particular we analyze varved sediment from lake Kassjon in northern Sweden, covering the past 6400 years. The properties of each varve reflect to a large extent weather conditions and internal biological processes in the lake the year that the varve was deposited. Functional clustering is used to group the seasonal patterns into different types, that can be associated with different weather conditions. The seasonal patterns were described by penalized splines and clustered by the k-means algorithm, after alignment. The observed (within-year) variability in the data was used to determine the degree of smoothing for the penalized spline approximations. The resulting clusters and their time dynamics show great potential for seasonal climate interpretation, in particular for winter climate changes.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Environmental Sciences (hsv//eng)
Keyword
- Climate
- Clustering
- Curve registration
- Functional data analysis
- Penalized least squares
- Varved lake diment
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Environmental and Ecological Statistics (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Arnqvist, Per
- Bigler, Christia ...
- Renberg, Ingemar
- Sjöstedt de Luna ...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Mathematics
- and Probability Theo ...
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Earth and Relate ...
- and Environmental Sc ...
- Articles in the publication
- Environmental an ...
- By the university
- Umeå University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
