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Ghent University

Evaluation of the space-time variability of soil salinity by statistical, geostatistical and bayesian maximum entropy methods

Abstract

dc:description

This thesis aims to the development of statistical and geostatistical methods for the analysis of space time data and their application to soil salinity. Special emphasis was put on how to characterize soil salinity. Also, the focus was on three groups of methods, i.e. statistical, geostatistical and Bayesian maximum entropy (BME) approaches. Although, the methods were applied to soil salinity, they can be applied to other fields of research as well. In summary, the two main objectives of this study were: - monitoring the temporal change of the spatial pattern of soil salinity using classical statistical methods; - mapping of soil salinity at unobserved space locations and time instants using classical and modern geostatistical methods like the BME.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Douaik, A
Contributors dc:contributor
  • Van Meirvenne, M

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
und

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:archive.ugent.be:469542

Chain of custody

source
Harvested from
Ghent University
Base URL
biblio.ugent.be/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Douaik, A. Evaluation of the space-time variability of soil salinity by statistical, geostatistical and bayesian maximum entropy methods. 2005. http://hdl.handle.net/1854/LU-469542