Analysis of anisotropic variogram models for prediction of the Curonian lagoon data
The anisotropy in particular environmental phenomena is detected when behavior of a physical process differs in different directions. In this paper geometric and zonal anisotropies are considered. Various methods of geostatistical analysis, also isotropic and geometrical anisotropic variogram models...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2006-03-01
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| Series: | Mathematical Modelling and Analysis |
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| Online Access: | https://journals.vgtu.lt/index.php/MMA/article/view/9599 |
| _version_ | 1818788639684952064 |
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| author | I. Krūminiene |
| author_facet | I. Krūminiene |
| author_sort | I. Krūminiene |
| collection | DOAJ |
| description | The anisotropy in particular environmental phenomena is detected when behavior of a physical process differs in different directions. In this paper geometric and zonal anisotropies are considered. Various methods of geostatistical analysis, also isotropic and geometrical anisotropic variogram models are compared and applied for the Curonian lagoon depth data. The results demonstrate that after robust estimation, i.e. elimination of outliers and after elimination of geometric anisotropy the precision of prediction and adequacy of models are much better. All computations have been performed by means of gstat, base and spatial packages of R system. Prediction results are compared with the results of research where outliers and geometric anisotropy were not eliminated.
First Published Online: 14 Oct 2010 |
| first_indexed | 2024-12-18T14:26:52Z |
| format | Article |
| id | doaj.art-ed4e592cc5b14c1ca15dcf59ee0761c8 |
| institution | Directory Open Access Journal |
| issn | 1392-6292 1648-3510 |
| language | English |
| last_indexed | 2024-12-18T14:26:52Z |
| publishDate | 2006-03-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Mathematical Modelling and Analysis |
| spelling | doaj.art-ed4e592cc5b14c1ca15dcf59ee0761c82022-12-21T21:04:41ZengVilnius Gediminas Technical UniversityMathematical Modelling and Analysis1392-62921648-35102006-03-0111110.3846/13926292.2006.9637303Analysis of anisotropic variogram models for prediction of the Curonian lagoon dataI. Krūminiene0Faculty of Natural and Mathematical Sciences , Klaipeda University , H. Manto 84, Klaipeda, LithuaniaThe anisotropy in particular environmental phenomena is detected when behavior of a physical process differs in different directions. In this paper geometric and zonal anisotropies are considered. Various methods of geostatistical analysis, also isotropic and geometrical anisotropic variogram models are compared and applied for the Curonian lagoon depth data. The results demonstrate that after robust estimation, i.e. elimination of outliers and after elimination of geometric anisotropy the precision of prediction and adequacy of models are much better. All computations have been performed by means of gstat, base and spatial packages of R system. Prediction results are compared with the results of research where outliers and geometric anisotropy were not eliminated. First Published Online: 14 Oct 2010https://journals.vgtu.lt/index.php/MMA/article/view/9599- |
| spellingShingle | I. Krūminiene Analysis of anisotropic variogram models for prediction of the Curonian lagoon data Mathematical Modelling and Analysis - |
| title | Analysis of anisotropic variogram models for prediction of the Curonian lagoon data |
| title_full | Analysis of anisotropic variogram models for prediction of the Curonian lagoon data |
| title_fullStr | Analysis of anisotropic variogram models for prediction of the Curonian lagoon data |
| title_full_unstemmed | Analysis of anisotropic variogram models for prediction of the Curonian lagoon data |
| title_short | Analysis of anisotropic variogram models for prediction of the Curonian lagoon data |
| title_sort | analysis of anisotropic variogram models for prediction of the curonian lagoon data |
| topic | - |
| url | https://journals.vgtu.lt/index.php/MMA/article/view/9599 |
| work_keys_str_mv | AT ikruminiene analysisofanisotropicvariogrammodelsforpredictionofthecuronianlagoondata |