Habitat designation based on cluster analysis of ichthyofauna.

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dc.acquisition-srcen_US
dc.call-noAcc# 1010en_US
dc.contract-noen_US
dc.contributor.authorDaniels, K.en_US
dc.contributor.editorJ.W. Day, Jr., D.D. Culley, Jr., R.E. Turner, and A.J. Mumphrey, Jr.en_US
dc.contributor.otherProceedings of the 3rd Coastal Marsh and Estuary Management Symposium.en_US
dc.date.accessioned2010-02-15T16:46:31Z
dc.date.available2010-02-15T16:46:31Z
dc.date.issued1979en_US
dc.degreeen_US
dc.descriptionp. 317-324.en_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 icthyofaunal data collected 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 represented in the form of dendrograms.en_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.geo-codeTrinity Riveren_US
dc.geo-codeTrinity Deltaen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/18582
dc.latitudeen_US
dc.locationGBIC Collection file roomen_US
dc.longitudeen_US
dc.notesen_US
dc.placeBaton Rouge, Louisiana:en_US
dc.publisherLouisiana State Universityen_US
dc.relation.ispartofseries1010.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesen_US
dc.subjectdeltasen_US
dc.subjecthabitaten_US
dc.subjectbrackishwater fishen_US
dc.subjectanalytical techniquesen_US
dc.subjectcluster analysisen_US
dc.subjectfishen_US
dc.titleHabitat designation based on cluster analysis of ichthyofauna.en_US
dc.typechapteren_US
dc.universityen_US
dc.vol-issueen_US

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