Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields

The goal of this dissertation is to estimate the amount of water in snowpacks at the areas Kultsjön and Rensaren in northen Sweden. A model is built using spatial statistics, and the estimations will be done by Integrated Nested Laplace Approximations (INLA). Then a validation process was done by re...

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Bibliographic Details
Main Author: Öhlund, Magnus
Format: Other/Unknown Material
Language:English
Published: Lunds universitet/Matematisk statistik 2013
Subjects:
Mathematics and Statistics
Laplace
Northern Sweden
Online Access:http://lup.lub.lu.se/student-papers/record/3633108
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spelling ftulundlupsp:oai:lup-student-papers.lub.lu.se:3633108 2023-07-30T04:05:52+02:00 Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields Öhlund, Magnus 2013 application/pdf http://lup.lub.lu.se/student-papers/record/3633108 eng eng Lunds universitet/Matematisk statistik http://lup.lub.lu.se/student-papers/record/3633108 Mathematics and Statistics H2 2013 ftulundlupsp 2023-07-11T20:06:23Z The goal of this dissertation is to estimate the amount of water in snowpacks at the areas Kultsjön and Rensaren in northen Sweden. A model is built using spatial statistics, and the estimations will be done by Integrated Nested Laplace Approximations (INLA). Then a validation process was done by removing data from the data set to create a validation set, and compare the estimations done by INLA to a simple linear regression. Finally the model is applied to the areas of interest, and the results are analysed. Other/Unknown Material Northern Sweden Lund University Publications Student Papers (LUP-SP) Laplace ENVELOPE(141.467,141.467,-66.782,-66.782)
institution Open Polar
collection Lund University Publications Student Papers (LUP-SP)
op_collection_id ftulundlupsp
language English
topic Mathematics and Statistics
spellingShingle Mathematics and Statistics
Öhlund, Magnus
Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields
topic_facet Mathematics and Statistics
description The goal of this dissertation is to estimate the amount of water in snowpacks at the areas Kultsjön and Rensaren in northen Sweden. A model is built using spatial statistics, and the estimations will be done by Integrated Nested Laplace Approximations (INLA). Then a validation process was done by removing data from the data set to create a validation set, and compare the estimations done by INLA to a simple linear regression. Finally the model is applied to the areas of interest, and the results are analysed.
format Other/Unknown Material
author Öhlund, Magnus
author_facet Öhlund, Magnus
author_sort Öhlund, Magnus
title Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields
title_short Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields
title_full Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields
title_fullStr Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields
title_full_unstemmed Estimation of Snow Depth in Northern Sweden: Using Gaussian Markov Random Fields
title_sort estimation of snow depth in northern sweden: using gaussian markov random fields
publisher Lunds universitet/Matematisk statistik
publishDate 2013
url http://lup.lub.lu.se/student-papers/record/3633108
long_lat ENVELOPE(141.467,141.467,-66.782,-66.782)
geographic Laplace
geographic_facet Laplace
genre Northern Sweden
genre_facet Northern Sweden
op_relation http://lup.lub.lu.se/student-papers/record/3633108
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