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dc.contributor.authorREDDY, S. J.pt_BR
dc.date.accessioned2016-05-31T11:13:34Z-
dc.date.available2016-05-31T11:13:34Z-
dc.date.created1996-07-09pt_BR
dc.date.issued1983pt_BR
dc.identifier.citationPesquisa Agropecuária Brasileira, v. 18, n. 5, p. 435-457, 1983.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/132990pt_BR
dc.descriptionThe paper catalogues the procedures and steps involved in agroclimatic classification. These vary from conventional descriptive methods to modern computer-based numerical techniques. There are three mutually independent numerical classification techniques, namely Ordination, Cluster analysis, and Minimum spanning tree; and under each technique there are several forms of grouping techniques existing. The vhoice of numerical classification procedure differs with the type of data set. In the case of numerical continuous data sets with booth positive and negative values, the simple and least controversial procedures are unweighted pair group method (UPGMA) and weighted pair group method (WPGMA) under clustering techniques with similarity measure obtained either from Gower metric or standardized Euclidean metric. Where the number of attributes are large, these could be reduced to fewer new attributes defined by the principal components or coordinates by ordination technique. The first few components or coodinates explain the maximum variance in the data matrix. These revided attributes are less affected by noise in the data set. It is possible to check misclassifications using minimum spanning tree.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectClassificacaopt_BR
dc.subjectAgroclimaticpt_BR
dc.subjectClimaticpt_BR
dc.titleAgroclimatic classification: numerical- taxonomic procedures - a review.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-05-31T11:13:34Zpt_BR
dc.subject.thesagroClimapt_BR
dc.subject.thesagroAgriculturapt_BR
dc.subject.thesagroClimatologiapt_BR
dc.subject.nalthesaurusclassificationpt_BR
riaa.ainfo.id132990pt_BR
riaa.ainfo.lastupdate2016-05-30pt_BR
dc.contributor.institutionSAZZALA JEEVANANDA REDDY, INSTITUTO INTERAMERICANO DE COOPERAÇÃO PARA A AGRICULTURA.pt_BR
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