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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
29/03/2011 |
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Data da última atualização: |
29/10/2012 |
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Tipo da produção científica: |
Monitoramento/Zoneamento |
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Autoria: |
BHERING, S. B.; CHAGAS, C. da S.; PEREIRA, N. R.; CARVALHO JUNIOR, W. de; ZARONI, M. J.; AMARAL, F. C. S. do; GONCALVES, A. O.; AGLIO, M. L. D.; DART, R. de O.; AMORIM, A. M.; LOPES, C. H. L. |
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Afiliação: |
SILVIO BARGE BHERING, CNPS; CESAR DA SILVA CHAGAS, CNPS; NILSON RENDEIRO PEREIRA, CNPS; WALDIR DE CARVALHO JUNIOR, CNPS; MARIA JOSE ZARONI, CNPS; FERNANDO CEZAR SARAIVA DO AMARAL, CNPS; ALEXANDRE ORTEGA GONCALVES, CNPS; MARIO LUIZ DIAMANTE AGLIO, CNPS; RICARDO DE OLIVEIRA DART, CNPS; Ailton Martins Amorim, SEPROTUR; Carlos Henrique Lemos Lopes, SEPROTUR. |
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Título: |
Mapa do zoneamento agroecológico para goiaba no município de Bandeirantes. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Rio de Janeiro: Embrapa Solos, 2010. |
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Idioma: |
Português |
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Palavras-Chave: |
Bandeirantes. |
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Thesagro: |
Goiaba. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 00700nem a2200241 a 4500
001 1883442
005 2012-10-29
008 2010 bl uuuu u0uu1 u #d
100 1 $aBHERING, S. B.
245 $aMapa do zoneamento agroecológico para goiaba no município de Bandeirantes.$h[electronic resource]
260 $aRio de Janeiro: Embrapa Solos$c2010
650 $aGoiaba
653 $aBandeirantes
700 1 $aCHAGAS, C. da S.
700 1 $aPEREIRA, N. R.
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aZARONI, M. J.
700 1 $aAMARAL, F. C. S. do
700 1 $aGONCALVES, A. O.
700 1 $aAGLIO, M. L. D.
700 1 $aDART, R. de O.
700 1 $aAMORIM, A. M.
700 1 $aLOPES, C. H. L.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
25/04/2011 |
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Data da última atualização: |
08/07/2011 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
VIEIRA, S. R.; CARVALHO, J. R. P. de; PAZ GONZÁLEZ, A. |
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Afiliação: |
SIDNEY ROSA VIEIRA, IAC; JOSE RUY PORTO DE CARVALHO, CNPTIA; ANTONIO PAZ GONZÁLEZ, Universidade da Coruña, Espanha. |
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Título: |
Jack knifing for semivariogram validation. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Bragantia, Campinas, v. 69, p. 97-105, 2010 |
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Idioma: |
Inglês |
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Notas: |
Suplemento. |
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Conteúdo: |
The semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models. For that purpose, topographical heights data obtained from six distinct field scales and sampling densities were analyzed. Because the topographical data showed very strong trend for all fields as it was verified by the absence of a sill in the experimental semivariograms, the trend was removed with a trend surface fitted by minimum square deviation. Semivariogram models were fitted with different techniques and the results of the jack knifing with them were compared. The jack knifing parameters analyzed were the intercept, slope and correlation coefficient between measured and estimated values, and the mean and variance of the errors calculated by the difference between measured and estimated values, divided by the square root of the estimation variances. The ideal numbers of neighbors used in each estimation was also studied using the jack knifing procedure. The jack knifing results were useful in the judgment of the adequate models fitted independent of the scale and sampling densities. It was concluded that the manual fitted semivariogram models produced better jack knifing parameters because the user has the freedom to choose a better fit in distinct regions of the semivariogram. MenosThe semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models. For that purpose, topographical heights data obtained from six distinct field scales and sampling densities were analyzed. Because the topographical data showed very strong trend for all fields as it was verified by the absence of a sill in the experimental semivariograms, the trend was removed with a trend surface fitted by minimum square deviation. Semivariogram models were fitted with different techniques and the results of the jack knifing with them were compared. The jack knifing parameters analyzed were the intercept, slope and correlation coefficient between measured and estimated values, and the mean and variance of the errors calculated by the difference between measured and estimated values, divided by the square root of the estimation variances. The ideal numbers of neighbors used in each estimation was also studied using the jack knifing procedure. The jack knifing results were useful in the judgment of the adequate models fitted independent of the scale and sampling densities. It was concluded that the manual fitted semivariogram models produced better jack knifing parameters because the user has the freedom to c... Mostrar Tudo |
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Palavras-Chave: |
Erro reduzido; Estacionaridade; Semivariograms; Stationarity. |
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Thesagro: |
Topografia. |
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Thesaurus NAL: |
Topography. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/33101/1/Jack2.pdf
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Marc: |
LEADER 02167naa a2200229 a 4500
001 1886773
005 2011-07-08
008 2010 bl uuuu u00u1 u #d
100 1 $aVIEIRA, S. R.
245 $aJack knifing for semivariogram validation.$h[electronic resource]
260 $c2010
500 $aSuplemento.
520 $aThe semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models. For that purpose, topographical heights data obtained from six distinct field scales and sampling densities were analyzed. Because the topographical data showed very strong trend for all fields as it was verified by the absence of a sill in the experimental semivariograms, the trend was removed with a trend surface fitted by minimum square deviation. Semivariogram models were fitted with different techniques and the results of the jack knifing with them were compared. The jack knifing parameters analyzed were the intercept, slope and correlation coefficient between measured and estimated values, and the mean and variance of the errors calculated by the difference between measured and estimated values, divided by the square root of the estimation variances. The ideal numbers of neighbors used in each estimation was also studied using the jack knifing procedure. The jack knifing results were useful in the judgment of the adequate models fitted independent of the scale and sampling densities. It was concluded that the manual fitted semivariogram models produced better jack knifing parameters because the user has the freedom to choose a better fit in distinct regions of the semivariogram.
650 $aTopography
650 $aTopografia
653 $aErro reduzido
653 $aEstacionaridade
653 $aSemivariograms
653 $aStationarity
700 1 $aCARVALHO, J. R. P. de
700 1 $aPAZ GONZÁLEZ, A.
773 $tBragantia, Campinas$gv. 69, p. 97-105, 2010
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