Ghent University
Evaluation of the space-time variability of soil salinity by statistical, geostatistical and bayesian maximum entropy methods
Abstract
dc:descriptionThis 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
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- Douaik, A
- Contributors dc:contributor
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- Van Meirvenne, M
Rights
dc:rights- Statement dc:rights
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- info:eu-repo/semantics/openAccess
- Language dc:language
- und
Identifiers
dc:identifier.*- Identifier
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https://biblio.ugent.be/publication/469542
http://doi.org/1854/5314
https://biblio.ugent.be/publication/469542/file/1876578 - OAI identifier oai:identifier
- oai:archive.ugent.be:469542