Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/65822
Type: Artigo de periódico
Title: Evaluation of geostatistics methods for interpolation of agrometeorological indices used to define climatic risks
Author: Assad, ED
de Macedo, MA
Zullo, J
Pinto, HS
Brunini, O
Abstract: The definition of the best sowing dates for corn, adopted in the Zoning of Climatic Risks,of the State of Sao Paulo, Brazil, was based on space-temporary variations of the water stress index (ISNA), using the pondered average as the interpolation method to spatialize this parameter. This method does not consider the spatial propagation of errors, leading to imprecise interpretations of the best sowing dates, mainly at the beginning and at the end of the cycle. The objective of this work was to compare methods of spatializing numeric values of agrometeorological indices and to evaluate their spatial space variation. The methods of the pondered means ordinary kriging and indication kriging were used. The indication kriging was the most suitable method for spatializing ISNA and to define the best sowing date for corn, in the State of Sao Paulo.
Subject: water balance
agroclimatic zones
geostatistics
Country: Brasil
Editor: Empresa Brasil Pesq Agropec
Rights: aberto
Identifier DOI: 10.1590/S0100-204X2003000200001
Date Issue: 2003
Appears in Collections:Unicamp - Artigos e Outros Documentos

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