Numerical techniques as applicable to agroclimatic classification - a review.

REDDY, S. J.

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Campo DC	Valor	Idioma
dc.contributor.author	REDDY, S. J.	pt_BR
dc.date.accessioned	2012-09-19T01:01:08Z	-
dc.date.available	2012-09-19T01:01:08Z	-
dc.date.created	1996-09-05	pt_BR
dc.date.issued	1983	pt_BR
dc.identifier.citation	In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 3., 1983, Campinas. Resumos... Campinas: SBA: IA: SAAESP, 1983.	pt_BR
dc.identifier.uri	http://www.alice.cnptia.embrapa.br/alice/handle/doc/133002	pt_BR
dc.description	Diversity in not only confined to data sets, but is a feature also of procedures that are involved in classification. Agroclimatic classification procedures vary from conventional descriptive methods to modern computer based numerical techniques. Conventional methods utilize few attributes and areas are grouped at discrete intervals and can be presented realtive to geo-coordinates as a continuum. Where many attributes are considered, numerical techniques confer advantages. 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 major weaknees of the numerical methods is that no two methods give identical results and also there is no established procedure for choice of optimal method. Also, choice of numerical classification procedure differs with the type odf data sets. In the case of numerical continuous data with both positive and negative values, the simple and least controvertical procedures are unweighted pair group method and weighted pair group method under clustering techniques with similarity metrics obtained either from Gower metric of standardized Euclidean metric. Where the number of attributes are large these could be reduced to fewer new attributes defines by the principal component or coordinates by ordination technique. These revised attributes are less affected by noise in the data set. However, the final results of numerical (...).	pt_BR
dc.language.iso	por	pt_BR
dc.rights	openAccess	pt_BR
dc.subject	Classificacao numerica	pt_BR
dc.subject	Numerical classification	pt_BR
dc.subject	Clmatologia	pt_BR
dc.title	Numerical techniques as applicable to agroclimatic classification - a review.	pt_BR
dc.type	Resumo em anais e proceedings	pt_BR
dc.date.updated	2012-09-19T01:01:08Z	pt_BR
dc.subject.thesagro	Climatologia	pt_BR
dc.subject.nalthesaurus	climatology	pt_BR
dc.format.extent2	p. 125-126.	pt_BR
riaa.ainfo.id	133002	pt_BR
riaa.ainfo.lastupdate	2012-09-18	pt_BR
dc.contributor.institution	S. JEEVANANDA REDDY, Consultor CPATSA.	pt_BR
Aparece nas coleções:	Resumo em anais de congresso (CPATSA)

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