Generalized product-sum variogram models of the data of the Center of Marine Research
Environmental data usually depends on both spatial and temporal components. Therefore, it is essential to have statistical models to describe how the data vary across space and time. Structural analysis begins with estimating the space-time covariance or variogram. In this paper a generalised produ...
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2004-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/32245 |
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| _version_ | 1832593197434404864 |
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| author | Ingrida Krūminienė Kęstutis Dučinskas |
| author_facet | Ingrida Krūminienė Kęstutis Dučinskas |
| author_sort | Ingrida Krūminienė |
| collection | DOAJ |
| description |
Environmental data usually depends on both spatial and temporal components. Therefore, it is essential to have statistical models to describe how the data vary across space and time. Structural analysis begins with estimating the space-time covariance or variogram. In this paper a generalised product-sum variogram models has been fitted to the data of the Center of Marine Research by making use of Gstat software.
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| format | Article |
| id | doaj-art-6c92e0804f8641a789ce61ec4f5be017 |
| institution | Kabale University |
| issn | 0132-2818 2335-898X |
| language | English |
| publishDate | 2004-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj-art-6c92e0804f8641a789ce61ec4f5be0172025-01-20T18:16:21ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2004-12-0144spec.10.15388/LMR.2004.32245Generalized product-sum variogram models of the data of the Center of Marine ResearchIngrida Krūminienė0Kęstutis Dučinskas1Klaipedos UniversityKlaipedos University Environmental data usually depends on both spatial and temporal components. Therefore, it is essential to have statistical models to describe how the data vary across space and time. Structural analysis begins with estimating the space-time covariance or variogram. In this paper a generalised product-sum variogram models has been fitted to the data of the Center of Marine Research by making use of Gstat software. https://www.journals.vu.lt/LMR/article/view/32245spatial-temporal modelscovariancevariogramproduct-sum models |
| spellingShingle | Ingrida Krūminienė Kęstutis Dučinskas Generalized product-sum variogram models of the data of the Center of Marine Research Lietuvos Matematikos Rinkinys spatial-temporal models covariance variogram product-sum models |
| title | Generalized product-sum variogram models of the data of the Center of Marine Research |
| title_full | Generalized product-sum variogram models of the data of the Center of Marine Research |
| title_fullStr | Generalized product-sum variogram models of the data of the Center of Marine Research |
| title_full_unstemmed | Generalized product-sum variogram models of the data of the Center of Marine Research |
| title_short | Generalized product-sum variogram models of the data of the Center of Marine Research |
| title_sort | generalized product sum variogram models of the data of the center of marine research |
| topic | spatial-temporal models covariance variogram product-sum models |
| url | https://www.journals.vu.lt/LMR/article/view/32245 |
| work_keys_str_mv | AT ingridakruminiene generalizedproductsumvariogrammodelsofthedataofthecenterofmarineresearch AT kestutisducinskas generalizedproductsumvariogrammodelsofthedataofthecenterofmarineresearch |