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Detrended correspondence analysis
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#	Item
1	Progress in Oceanography–65 www.elsevier.com/locate/pocean Parallel structure among environmental gradients and three trophic levels in a subarctic estuary Suzann G. Speckman Add to Reading List Source URL: alaska.usgs.gov Language: English - Date: 2014-08-07 14:40:55 Biology Multivariate statistics Planktology Fisheries Principal component analysis Zooplankton Ecology Detrended correspondence analysis Plankton Water Biological oceanography Aquatic ecology
2	A comparison of the vegetation communities from the islands of the Pitcairn group Add to Reading List Source URL: horizon.documentation.ird.fr Language: English - Date: 2013-10-16 12:04:38 Quadrat Henderson Island Abundance Heliotropium anomalum Detrended correspondence analysis Pisonia grandis Ecology Pitcairn Islands Environmental statistics Flora
3	Sampling design for an integrated socioeconomic and ecological survey by using satellite remote sensing and ordination Michael W. Binford, Tae Jeong Lee†, and Robert M. Townsend‡§ Department of Geography, Universi Add to Reading List Source URL: robertmtownsend.net Language: English - Date: 2011-02-14 11:36:57 Subdivisions of Thailand Econometrics Detrended correspondence analysis Stratified sampling Tambon Soil science Random sample Instrumental variable Errors and residuals in statistics Statistics Sampling Regression analysis
4	Each technique is illustrated by worked examples using simple, familiar data sets, and the key features of the output from standard software packages is explained. Pitfalls for the unwary are highlighted wherever they oc Add to Reading List Source URL: www.chezshaw.demon.co.uk Language: English - Date: 2002-11-27 07:27:34 Detrended correspondence analysis Multivariate analysis Correspondence analysis Principal component analysis Plot Linear regression Regression analysis Analysis Data set Statistics Multivariate statistics Ordination
5	15 SEPTEMBER[removed]NOTES AND CORRESPONDENCE 5021 Add to Reading List Source URL: aos.wisc.edu Language: English - Date: 2014-03-19 18:37:10 Atmospheric sciences Oceanography Statistical forecasting Detrended fluctuation analysis Global climate model Predictability Meteorology Vegetation Forecasting Statistics Science Time series analysis
6	Microsoft Word - Final_DNR_report.doc Add to Reading List Source URL: files.dnr.state.mn.us Language: English - Date: 2004-12-18 09:10:33 Detrended correspondence analysis Environment Statistics Transect Plot
7	Microsoft Word - Minnesota Plant Community Classification_DNR version_01[removed]_2_.doc Add to Reading List Source URL: files.dnr.state.mn.us Language: English - Date: 2012-12-11 11:30:54 Ecology Vegetation Detrended correspondence analysis Ecological land classification Wetland Ecosystem Ecoregion Biodiversity Prairie Biology Terminology Knowledge
8	American Fisheries Society Symposium 47:409–423, 2005 © 2005 by the American Fisheries Society Fish Assemblage Responses to Urban Intensity Gradients in Contrasting Metropolitan Areas: Birmingham, Alabama and Boston, Add to Reading List Source URL: water.usgs.gov Language: English - Date: 2006-05-22 18:57:00 Fisheries Biology Biogeography Detrended correspondence analysis Species richness Community River ecosystem Fish Water Ecology Aquatic ecology
9	American Fisheries Society Symposium 47:409–423, 2005 © 2005 by the American Fisheries Society Fish Assemblage Responses to Urban Intensity Gradients in Contrasting Metropolitan Areas: Birmingham, Alabama and Boston, Add to Reading List Source URL: water.usgs.gov Language: English - Date: 2006-04-13 08:02:29 Fisheries Biology Biogeography Detrended correspondence analysis Species richness Community River ecosystem Fish Water Ecology Aquatic ecology
10	Microsoft Word - classification_update.doc Add to Reading List Source URL: n-steps.tetratech-ffx.com Language: English - Date: 2007-08-28 12:52:39 Market research Psychometrics Ordination Cluster analysis Detrended correspondence analysis Analysis Plot Multidimensional scaling Statistical classification Statistics Multivariate statistics Machine learning