EconPapers    
Economics at your fingertips  
 

Spatially correlated mixed-effects models for the analysis of soil water retention

Barbara Cafarelli (), Alessio Pollice, Annamaria Castrignano' and Nunzio Romano

Quaderni DSEMS from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia

Abstract: The knowledge of hydraulic properties of soil is necessary in many environmental applications and land planning. These properties, however, are difficult to determine and often they demand high labour costs, for which the tendency is to estimate them on the base of other more easily measurable or already available soil data. The level of detail reached using this method is not always satisfactory for some applications to basin scale, where variables to measure the morphologic property of the landscape are required. This study is proposed to characterize the spatial distribution of the water retention of a soil on wide scale using data relative to the physical, topographical and chemical characteristics of the soil within a model based approach.

Keywords: Linear Mixed Models; Spatial Continuous Autoregressive Correlation Structure; Soil Water Retention. (search for similar items in EconPapers)
Date: 2004-11
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.economia.unifg.it/sites/sd01/files/alle ... 16/abstractq2404.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.economia.unifg.it/sites/sd01/files/allegatiparagrafo/30-11-2016/abstractq2404.pdf [302 Found]--> https://www.economia.unifg.it/sites/sd01/files/allegatiparagrafo/30-11-2016/abstractq2404.pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ufg:qdsems:24-2004

Access Statistics for this paper

More papers in Quaderni DSEMS from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia Largo Papa Giovanni Paolo II, 1 -71100- Foggia (I). Contact information at EDIRC.
Bibliographic data for series maintained by Luca Grilli ().

 
Page updated 2025-04-01
Handle: RePEc:ufg:qdsems:24-2004