About: Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods

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About: Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods Goto Sponge NotDistinct Permalink

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scholarly article

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rdf:type	Item
description	wetenschappelijk artikel (nl) scholarly article (en) наукова стаття, опублікована в березні 2014 (uk) im März 2014 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58213892-9C96A744-8ACC-4D6A-B2B9-D5D752480F1C
publication date	2014-03-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q58213892-B75B6974-255D-455B-9423-4C968F08ED04
cites work	Climate change between the mid and late Holocene in northern high latitudes – Part 1: Survey of temperature and precipitation proxy data
rdfs:label	Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods (en) Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods (nl)
skos:prefLabel	Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods (en) Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods (nl)
name	Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods (en) Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods (nl)
author	wds:Q58213892-064AF305-20CF-4986-9CCD-20F11A279CC6 wds:Q58213892-35DC8B4F-636A-4491-8590-36F388558794 wds:Q58213892-9C156DCD-C69C-473C-9145-512FA5C3AD64 wds:Q58213892-A07C7752-98BE-40C4-B48C-9965C0076B01 wds:Q58213892-D227CEFF-AC24-4AD5-BD64-D70ACF44E9FC wds:Q58213892-E2AC50DC-5088-4F9F-B531-1BEA25277636 wds:Q58213892-FB8541AF-F0B2-44B7-8773-A800E8184D13
author	John Birks Richard J Telford Miska Luoto Heikki Seppä Maija Heikkilä J. Sakari Salonen Teija Alenius
title	wds:Q58213892-135CCDB4-3BF8-41CF-A7B9-5805D547BBC7
title	Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods (en)
page(s)	wds:Q58213892-B4D07465-A313-4980-A6F6-F93BF49CD4F1
page(s)	69-81
instance of	wds:Q58213892-0A8282A9-D493-47FA-BE44-5AD8CF645701
instance of	scholarly article
main subject	wds:Q58213892-AD7A57BC-3B28-49A9-A88A-C499E1CA71AA wds:Q58213892-C583E710-B51D-4BCA-8FC4-CEB96041FDB1
main subject	fossil paleoclimate
published in	wds:Q58213892-532B33A4-2E1D-4BA5-A7E0-85BB5EBF4B3E
published in	Quaternary Science Reviews
volume	wds:Q58213892-4E5F6D4A-7695-4534-931C-D4FD7A7F60F3
volume	88
DOI	wds:Q58213892-80440487-E2DB-4649-BD51-3C91C9BBEBF8
DOI	http://dx.doi.org/10.1016/J.QUASCIREV.2014.01.011
DOI	10.1016/J.QUASCIREV.2014.01.011
ADS bibcode	wds:Q58213892-D4538A77-D151-4854-B2F3-5AD8E222370D
ADS bibcode	2014QSRv...88...69S
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58213892
is cites work of	Assessing the Importance of Climate Variables for the Spatial Distribution of Modern Pollen Data in China Taxon selection using statistical learning techniques to improve transfer function prediction Machine-learning based reconstructions of primary and secondary climate variables from North American and European fossil pollen data
is cites work of	wds:Q63970707-331566EC-3DE7-4538-AFAA-FC677A2D3564 wds:Q91062572-D8405565-33CA-4B4D-A2D6-17910728D80D wds:Q58225837-2CFB62C9-A73B-4D3D-AAFB-EC49EC5B6423

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