English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/78270
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Citado 8 veces en Web of Knowledge®  |  Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar otros formatos: Exportar EndNote (RIS)Exportar EndNote (RIS)Exportar EndNote (RIS)
Título : Modeling the spatial distribution of soil properties by generalized least squares regression: Toward a general theory of spatial variates
Autor : Beguería, Santiago ; Spanu, Valentina; Navas Izquierdo, Ana ; Machín Gayarre, Javier ; Angulo-Martínez, Marta
Palabras clave : Soil properties
Soil mapping
Soil prediction
Spatial interpolation
Mixed-effects model
Generalized Linear Model
Geostatistics
Regression Kriging
Fecha de publicación : may-2013
Editor: Soil and Water Conservation Society
Citación : Beguería S, Spanu V, Navas A, Machín J, Angulo-Martínez M. Modeling the spatial distribution of soil properties by generalized least squares regression: Toward a general theory of spatial variates. Journal of Soil and Water Conservation 68 (3): 172-184 (2013)
Resumen: Assessment of the spatial distribution of soil properties has achieved considerable interest among soil scientists, both for testing hypotheses about soil formation processes and for predicting the properties of soils at nonsampled locations (mapping). In this paper, we provide a discussion of the various approaches to the modeling of spatial variates, and we propose a modeling framework that is able to incorporate the most important effects usually found in spatial variates, including fixed and random spatial effects, spatial trends, and heteroscedasticity. We provide a case study of the analysis of eight soil properties in a mountain catchment in the Spanish Pyrenees. As explanatory covariates, we use several topography parameters, which can be related to the pedogenetic processes active in the area. Several of them proved useful for explaining the variability of soil properties, explaining up to 77% of their variance. We focus on the importance of model selection in order to determine which effects are relevant for modeling each soil parameter. We find that the full model is not necessarily optimal for all the variables tested and that the model should be adapted to the complexity of each individual case. This paper is a contribution to the discussion on the modeling of spatial variates and to the eventual development of a general theory of spatial variates.
Descripción : 27 Pags., 5 Tabls., 8 Figs. The definitive version is available at: http://www.jswconline.org/
Versión del editor: http://dx.doi.org/10.2489/jswc.68.3.172
URI : http://hdl.handle.net/10261/78270
DOI: 10.2489/jswc.68.3.172
ISSN: 0022-4561
Aparece en las colecciones: (EEAD) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
BegueriaS_JSoilWatCons_2013.pdf2,85 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 



NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.