Modeling of zonal anisotropic variograms
Most standard methods of geostatistical analysis are built upon the basic assumption of isotropy. However, spatial data in most cases are not isotropic. In practice typically we find data with zonal anisotropy. Zonal anisotropy is more complex than geometric; what is more, most software requires an...
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2005-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
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| Online Access: | https://www.journals.vu.lt/LMR/article/view/26676 |
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| _version_ | 1832593221161582592 |
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| author | Lina Budrikaitė |
| author_facet | Lina Budrikaitė |
| author_sort | Lina Budrikaitė |
| collection | DOAJ |
| description |
Most standard methods of geostatistical analysis are built upon the basic assumption of isotropy. However, spatial data in most cases are not isotropic. In practice typically we find data with zonal anisotropy. Zonal anisotropy is more complex than geometric; what is more, most software requires anisotropy to be geometric. In this paper an overview of models of zonal anisotropy is presented. Models of variograms with zonal anisotropy were fitted to the salinity data using R, the system for statistical computations and analysis.
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| format | Article |
| id | doaj-art-c6c7208f7bc147048cbd0b2e1fb0d837 |
| institution | Kabale University |
| issn | 0132-2818 2335-898X |
| language | English |
| publishDate | 2005-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj-art-c6c7208f7bc147048cbd0b2e1fb0d8372025-01-20T18:15:50ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2005-12-0145spec.10.15388/LMR.2005.26676Modeling of zonal anisotropic variogramsLina Budrikaitė0Klaipeda University Most standard methods of geostatistical analysis are built upon the basic assumption of isotropy. However, spatial data in most cases are not isotropic. In practice typically we find data with zonal anisotropy. Zonal anisotropy is more complex than geometric; what is more, most software requires anisotropy to be geometric. In this paper an overview of models of zonal anisotropy is presented. Models of variograms with zonal anisotropy were fitted to the salinity data using R, the system for statistical computations and analysis. https://www.journals.vu.lt/LMR/article/view/26676variogramrangesillnugget effectzonal anisotropy |
| spellingShingle | Lina Budrikaitė Modeling of zonal anisotropic variograms Lietuvos Matematikos Rinkinys variogram range sill nugget effect zonal anisotropy |
| title | Modeling of zonal anisotropic variograms |
| title_full | Modeling of zonal anisotropic variograms |
| title_fullStr | Modeling of zonal anisotropic variograms |
| title_full_unstemmed | Modeling of zonal anisotropic variograms |
| title_short | Modeling of zonal anisotropic variograms |
| title_sort | modeling of zonal anisotropic variograms |
| topic | variogram range sill nugget effect zonal anisotropy |
| url | https://www.journals.vu.lt/LMR/article/view/26676 |
| work_keys_str_mv | AT linabudrikaite modelingofzonalanisotropicvariograms |