| Registro completo |
| Provedor de dados: |
Rev. Bras. Ciênc. Solo
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| País: |
Brazil
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| Título: |
Diagnostic techniques applied in geostatistics for agricultural data analysis
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| Autores: |
Borssoi,Joelmir André
Uribe-Opazo,Miguel Angel
Galea Rojas,Manuel
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| Data: |
2009-12-01
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| Ano: |
2009
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| Palavras-chave: |
Local influence
Maximum likelihood
Restricted maximum likelihood
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| Resumo: |
The structural modeling of spatial dependence, using a geostatistical approach, is an indispensable tool to determine parameters that define this structure, applied on interpolation of values at unsampled points by kriging techniques. However, the estimation of parameters can be greatly affected by the presence of atypical observations in sampled data. The purpose of this study was to use diagnostic techniques in Gaussian spatial linear models in geostatistics to evaluate the sensitivity of maximum likelihood and restrict maximum likelihood estimators to small perturbations in these data. For this purpose, studies with simulated and experimental data were conducted. Results with simulated data showed that the diagnostic techniques were efficient to identify the perturbation in data. The results with real data indicated that atypical values among the sampled data may have a strong influence on thematic maps, thus changing the spatial dependence structure. The application of diagnostic techniques should be part of any geostatistical analysis, to ensure a better quality of the information from thematic maps.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000600005
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| Editor: |
Sociedade Brasileira de Ciência do Solo
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| Relação: |
10.1590/S0100-06832009000600005
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| Formato: |
text/html
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| Fonte: |
Revista Brasileira de Ciência do Solo v.33 n.6 2009
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| Direitos: |
info:eu-repo/semantics/openAccess
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