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| SILVEIRA,EDUARDA M.O.; REIS,ALINY A. DOS; TERRA,MARCELA C.N.S.; WITHEY,KIERAN D.; MELLO,JOSÉ M. DE; ACERBI-JÚNIOR,FAUSTO W.; FERRAZ FILHO,ANTONIO CARLOS; MELLO,CARLOS R.. |
| Abstract: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate regression, and regression kriging. Our study contributes to a better understanding of the factors that affect the spatial distribution of the wood volume of this vegetation type as well as allowing better representation of the spatial heterogeneity of this biome. Wood volume estimates were obtained through regression models using different environmental variables as independent variables. Using the best fitted model, spatial analysis of the residuals was carried out by selecting a semivariogram... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cerrado sensu stricto; Forest inventory; Geostatistics; Regression kriging; Volumetry. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700853 |
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| Batista,Pedro Velloso Gomes; Silva,Marx Leandro Naves; Avalos,Fabio Arnaldo Pomar; Oliveira,Marcelo Silva de; Menezes,Michele Duarte de; Curi,Nilton. |
| ABSTRACT Terrain models that represent riverbed topography are used for analyzing geomorphologic changes, calculating water storage capacity, and making hydrologic simulations. These models are generated by interpolating bathymetry points. River bathymetry is usually surveyed through cross-sections, which may lead to a sparse sampling pattern. Hybrid kriging methods, such as regression kriging (RK) and co-kriging (CK) employ the correlation with auxiliary predictors, as well as inter-variable correlation, to improve the predictions of the target variable. In this study, we use the orthogonal distance of a (x, y) point to the river centerline as a covariate for RK and CK. Given that riverbed elevation variability is abrupt transversely to the flow... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geostatistics; Spatial prediction; Regression kriging; Riverbed morphology. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000400402 |
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