Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/132990
Research center of Embrapa/Collection: Embrapa Semiárido - Artigo em periódico indexado (ALICE)
Date Issued: 1983
Type of Material: Artigo em periódico indexado (ALICE)
Authors: REDDY, S. J.
Additional Information: S. JEEVANANDA REDDY, CPATSA - Consultor.
Title: Agroclimatic classification: numerical- taxonomic procedures - a review.
Publisher: Pesquisa Agropecuária Brasileira, Brasília, DF, v. 18, n. 5, p. 435-457, 1983.
Language: en
Keywords: Classificacao
Agroclimatic
Climatic.
Description: The 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.
Thesagro: Clima
Agricultura
Climatologia.
NAL Thesaurus: classification.
Data Created: 1996-07-09
Appears in Collections:Artigo em periódico indexado (CPATSA)

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