An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska
An algorithm to cluster profile data into groups that minimize the sum of the intra-group variances was applied to near-surface soil ice content data collected near Barrow, Alaska, in wet tundra terrain. When the algorithm was requested to produce 2–5 groups and group mean profiles, the results were...
Published in: | Journal of the International Association for Mathematical Geology |
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Kluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation
1984
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Online Access: | https://hdl.handle.net/2027.42/43194 https://doi.org/10.1007/BF01032216 |
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ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/43194 2023-08-20T04:05:32+02:00 An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska Estabrook, George F. Outcalt, Samuel I. The University of Michigan Herbarium, and Division of Biological Sciences, 48109, Ann Arbor, Michigan, USA Department of Geological Sciences, University of Michigan, 48109, Ann Arbor, Michigan, USA Ann Arbor 1984-02 766252 bytes 3115 bytes application/pdf text/plain https://hdl.handle.net/2027.42/43194 https://doi.org/10.1007/BF01032216 en_US eng Kluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation Springer Science+Business Media Estabrook, G. F.; Outcalt, S.; (1984). "An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska." Journal of the International Association for Mathematical Geology 16(2): 193-205. <http://hdl.handle.net/2027.42/43194> 0020-5958 1573-8868 https://hdl.handle.net/2027.42/43194 http://dx.doi.org/10.1007/BF01032216 Journal of the International Association for Mathematical Geology Geosciences Hydrogeology Math. Applications in Geosciences Geotechnical Engineering Statistics for Engineering Physics Computer Science Chemistry & Geosciences Clustering Ice Tundra Moisture Content Geology and Earth Sciences Science Article 1984 ftumdeepblue https://doi.org/10.1007/BF01032216 2023-07-31T21:08:17Z An algorithm to cluster profile data into groups that minimize the sum of the intra-group variances was applied to near-surface soil ice content data collected near Barrow, Alaska, in wet tundra terrain. When the algorithm was requested to produce 2–5 groups and group mean profiles, the results were consistant with the modern theory of ice segregation. This process produces much of the variability of near surface soil ice stratigraphy in nature. These results strengthen the case for employing the algorithm on other profile data sets as an aid in hypothesis formulation. Peer Reviewed http://deepblue.lib.umich.edu/bitstream/2027.42/43194/1/11004_2005_Article_BF01032216.pdf Article in Journal/Newspaper Barrow Tundra Alaska University of Michigan: Deep Blue Journal of the International Association for Mathematical Geology 16 2 193 205 |
institution |
Open Polar |
collection |
University of Michigan: Deep Blue |
op_collection_id |
ftumdeepblue |
language |
English |
topic |
Geosciences Hydrogeology Math. Applications in Geosciences Geotechnical Engineering Statistics for Engineering Physics Computer Science Chemistry & Geosciences Clustering Ice Tundra Moisture Content Geology and Earth Sciences Science |
spellingShingle |
Geosciences Hydrogeology Math. Applications in Geosciences Geotechnical Engineering Statistics for Engineering Physics Computer Science Chemistry & Geosciences Clustering Ice Tundra Moisture Content Geology and Earth Sciences Science Estabrook, George F. Outcalt, Samuel I. An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska |
topic_facet |
Geosciences Hydrogeology Math. Applications in Geosciences Geotechnical Engineering Statistics for Engineering Physics Computer Science Chemistry & Geosciences Clustering Ice Tundra Moisture Content Geology and Earth Sciences Science |
description |
An algorithm to cluster profile data into groups that minimize the sum of the intra-group variances was applied to near-surface soil ice content data collected near Barrow, Alaska, in wet tundra terrain. When the algorithm was requested to produce 2–5 groups and group mean profiles, the results were consistant with the modern theory of ice segregation. This process produces much of the variability of near surface soil ice stratigraphy in nature. These results strengthen the case for employing the algorithm on other profile data sets as an aid in hypothesis formulation. Peer Reviewed http://deepblue.lib.umich.edu/bitstream/2027.42/43194/1/11004_2005_Article_BF01032216.pdf |
author2 |
The University of Michigan Herbarium, and Division of Biological Sciences, 48109, Ann Arbor, Michigan, USA Department of Geological Sciences, University of Michigan, 48109, Ann Arbor, Michigan, USA Ann Arbor |
format |
Article in Journal/Newspaper |
author |
Estabrook, George F. Outcalt, Samuel I. |
author_facet |
Estabrook, George F. Outcalt, Samuel I. |
author_sort |
Estabrook, George F. |
title |
An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska |
title_short |
An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska |
title_full |
An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska |
title_fullStr |
An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska |
title_full_unstemmed |
An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska |
title_sort |
algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near barrow, alaska |
publisher |
Kluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation |
publishDate |
1984 |
url |
https://hdl.handle.net/2027.42/43194 https://doi.org/10.1007/BF01032216 |
genre |
Barrow Tundra Alaska |
genre_facet |
Barrow Tundra Alaska |
op_relation |
Estabrook, G. F.; Outcalt, S.; (1984). "An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska." Journal of the International Association for Mathematical Geology 16(2): 193-205. <http://hdl.handle.net/2027.42/43194> 0020-5958 1573-8868 https://hdl.handle.net/2027.42/43194 http://dx.doi.org/10.1007/BF01032216 Journal of the International Association for Mathematical Geology |
op_doi |
https://doi.org/10.1007/BF01032216 |
container_title |
Journal of the International Association for Mathematical Geology |
container_volume |
16 |
container_issue |
2 |
container_start_page |
193 |
op_container_end_page |
205 |
_version_ |
1774716071756955648 |