About: Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest

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rdf:type	Item
description	article (en) ലേഖനം (ml) wetenschappelijk artikel (nl) наукова стаття, опублікована в травні 2011 (uk) im Mai 2011 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q56827844-511BC10F-F44B-422C-97C8-33DE4D01FE3D
publication date	2011-05-31 00:00:00Z (xsd:dateTime)
cites work	wds:Q56827844-14F28E26-A53B-463A-A9E0-C245B03F8B1E wds:Q56827844-26C80DD9-95EE-4393-9411-1004936F3FDF wds:Q56827844-7C209F17-82A4-4524-95BB-8A510CCE1747 wds:Q56827844-D4A37DC6-47E4-4A33-9699-9668DF964812 wds:Q56827844-F5DAD542-BEF9-4B68-8A0C-EC93D525A74C wds:Q56827844-FC96CA65-6A2C-4227-BF44-3F984DE85E42
cites work	Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests Regression analysis of spatial data Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction Random forests for classification in ecology. Random Forest characterization of upland vegetation and management burning from aerial imagery Wetland vegetation distribution modelling for the identification of constraining environmental variables
author name string	wds:Q56827844-0CC37566-B3FC-438C-95C2-F52C787230C0 wds:Q56827844-568603D3-0809-40A7-9DFA-2B7A76C56D6F wds:Q56827844-AB3C9E6F-0861-4275-8FDD-E979CCE95CEA wds:Q56827844-D4EE22BE-ED1B-4D8D-B127-B066ABABCFEC
author name string	Ute Bradter Tim G. Benton John D. Altringham Tim J. Thom
rdfs:label	Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest (en) Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest (nl)
skos:prefLabel	Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest (en) Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest (nl)
name	Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest (en) Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest (nl)
author	wds:Q56827844-0A523FB2-1D5F-4A45-8C36-D6CB9F8FFAF3
author	William E. Kunin
title	wds:Q56827844-8700FB82-726F-4557-8E32-FF47193443E3
title	Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest (en)
page(s)	wds:Q56827844-9D87C678-E8D2-403F-8B24-BA31931BB867
page(s)	1057-1065
instance of	wds:Q56827844-2A339077-2469-4900-9070-C3173EA29E7F
instance of	scholarly article
main subject	wds:Q56827844-D2550842-C331-4543-A73C-5262CAABAF01 wds:Q56827844-E366B061-2297-4708-B41F-28C656EDA98D
main subject	random forest spatial scale
published in	wds:Q56827844-6E9B2D48-B5E5-490A-A547-5E6DE26E2E67
published in	Journal of Applied Ecology
issue	wds:Q56827844-929E39C2-3818-4905-8849-140B6C07B963
volume	wds:Q56827844-73CDE9B4-8AE3-4E7F-BF19-13CB4E58DEE4
issue	4
volume	48
DOI	wds:Q56827844-18F827C4-D2C5-42C2-A1E6-E301C852A2AD
DOI	http://dx.doi.org/10.1111/J.1365-2664.2011.02010.X
DOI	10.1111/J.1365-2664.2011.02010.X
describes a project that uses	wds:Q56827844-5512D512-90B9-4F44-9A1E-8F2E42A2EC61
describes a project that uses	environmental data
Applied Ecology Resources document ID	wds:Q56827844-10E4B287-01AC-46D7-A325-5DF7E220BCC9
Applied Ecology Resources document ID	20113247305
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56827844
is cites work of	The need for an integrated biodiversity policy support process – Building the European contribution to a global Biodiversity Observation Network (EU BON) Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping Identifying appropriate spatial scales of predictors in species distribution models with the random forest algorithm Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra Ecosystems Mapping Dominant Tree Species over Large Forested Areas Using Landsat Best-Available-Pixel Image Composites Classification and mapping of the woody vegetation of Gonarezhou National Park, Zimbabwe
is cites work of	wds:Q60548642-71A37AEF-B705-4B03-947B-7DD560467150 wds:Q57062537-9C7AF316-B290-4CA7-9C64-6B38436222A2 wds:Q56417780-8D724213-1DB0-4DDC-96B0-AF333CC352D2 wds:Q58252739-9F1DF3C9-0F79-4BAD-8D97-831BD7B84678 wds:Q56827822-BB97F0B8-3E0E-49E8-ACAF-6A82D91260B9 wds:Q57912970-131D86CC-0064-4C17-8DC2-BB6EB960B8D1

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