Habitat designation based on cluster analysis of ichthyofauna

dc.acquisition-srcDownloaded from-Aquatic Sciences and Fisheries Abstractsen_US
dc.call-noen_US
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dc.contributor.authorDaniels K Day JWen_US
dc.contributor.authorCulley DDen_US
dc.contributor.authorTurner REen_US
dc.contributor.authorMumphrey AJen_US
dc.contributor.otheren_US
dc.date.accessioned2010-02-15T17:13:31Z
dc.date.available2010-02-15T17:13:31Z
dc.date.issued1979 1978 Mar 6en_US
dc.degreeen_US
dc.description-324en_US
dc.description-otheren_US
dc.description.abstractThe steps in a cluster analysis are outlined: character selection, estimation of similarity among objects to be clustered, and construction of clusters. The use of an agglomerative clustering procedure for habitat designation based on ichthyofaunal data colected from the Trinity River Delta, Texas is discussed. Distance and correlation coefficients are used in the estimation of similarity between Trinity River Delta stations. Results of the cluster analysis on this data are presented in the form of dendrogramsen_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/22944
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dc.locationen_US
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dc.notesPresented at: 3. Coastal Marsh and Estuary Management Symposium, Baton Rouge, LA (USA)Proc. Coast. Marsh Estuary Manage. SympEnglishEnglishBook MonographBrackishNO8001799en_US
dc.placeBaton Rouge (USA). Cent. for Wetland Resources.en_US
dc.publisheren_US
dc.relation.ispartofseries50419.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesIn: Proceedings of the third coastal marsh and estuary management symposium. Environmental conditions in the Louisiana coastal zoneen_US
dc.subjectanalysisen_US
dc.subjectbrackishwater fishen_US
dc.subjectCoastal zoneen_US
dc.subjectConstructionen_US
dc.subjectEcological distributionen_US
dc.subjectenvironmental conditionsen_US
dc.subjectestuariesen_US
dc.subjecthabitaten_US
dc.subjectPiscesen_US
dc.subjectQ1 01463 Habitat community studiesen_US
dc.subjectTexasen_US
dc.subjectUSAen_US
dc.titleHabitat designation based on cluster analysis of ichthyofaunaen_US
dc.typeCONFen_US
dc.universityen_US
dc.vol-issue()en_US
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