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Scaling of semivariograms and the kriging estimation of field-measured properties Rev. Bras. Ciênc. Solo
Vieira,S. R.; Tillotson,P. M.; Biggar,J. W.; Nielsen,D. R..
Two methods were evaluated for scaling a set of semivariograms into a unified function for kriging estimation of field-measured properties. Scaling is performed using sample variances and sills of individual semivariograms as scale factors. Theoretical developments show that kriging weights are independent of the scaling factor which appears simply as a constant multiplying both sides of the kriging equations. The scaling techniques were applied to four sets of semivariograms representing spatial scales of 30 x 30 m to 600 x 900 km. Experimental semivariograms in each set successfully coalesced into a single curve by variances and sills of individual semivariograms. To evaluate the scaling techniques, kriged estimates derived from scaled semivariogram...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Semivariogram; Scaling; Kriging; Spatial variability.
Ano: 1997 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06831997000400001
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State-space approach to evaluate the relation between soil physical and chemical properties Rev. Bras. Ciênc. Solo
Timm,L. C.; Reichardt,K.; Oliveira,J. C. M.; Cassaro,F. A. M.; Tominaga,T. T.; Bacchi,O. O. S.; Dourado-Neto,D.; Nielsen,D. R..
The state-space approach is used to evaluate the relation between soil physical and chemical properties in an area cultivated with sugarcane. The experiment was carried out on a Rhodic Kandiudalf in Piracicaba, State of São Paulo, Brazil. Sugarcane was planted on an area of 0.21 ha i.e., in 15 rows 100 m long, spaced 1.4 m. Soil water content, soil organic matter, clay content and aggregate stability were sampled along a transect of 84 points, meter by meter. The state-space approach is used to evaluate how the soil water content is affected by itself and by soil organic matter, clay content, and aggregate stability of neighboring locations, in different combinations, aiming to contribute to a better understanding of the relation among these variables in...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Spatial variability; Sugarcane crop; Kalman filter; Auto-regressive model.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832004000100005
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