COMPOSITIONAL KRIGING: A SPATIAL INTERPOLATION METHOD FOR COMPOSITIONAL DATA
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dc.contributor.author | Walvoort D.J.J. | |
dc.contributor.author | de Gruijter Ja.J. | |
dc.date.accessioned | 2021-03-14T06:41:32Z | |
dc.date.available | 2021-03-14T06:41:32Z | |
dc.date.issued | 2001 | |
dc.identifier | https://www.elibrary.ru/item.asp?id=805447 | |
dc.identifier.citation | Mathematical Geology, 2001, 33, 8, 951-966 | |
dc.identifier.issn | 0882-8121 | |
dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/26703 | |
dc.description.abstract | Compositional data are very common in the earth sciences. Nevertheless, little attention has been paid to the spatial interpolation of these data sets. Most interpolators do not necessarily satisfy the constant sum and nonnegativity constraints of compositional data, nor take spatial structure into account. Therefore, compositional kriging is introduced as a straightforward extension of ordinary kriging that complies with these constraints. In two case studies, the performance of compositional kriging is compared with that of the additive logratio-transform. In the first case study, compositional kriging yielded significantly more accurate predictions than the additive logratio-transform, while in the second case study the performances were comparable. | |
dc.subject | CLOSED DATA | |
dc.subject | GEOSTATISTICS | |
dc.subject | INDICATOR KRIGING | |
dc.subject | FUZZY SETS | |
dc.subject | TERNARY DIAGRAM | |
dc.title | COMPOSITIONAL KRIGING: A SPATIAL INTERPOLATION METHOD FOR COMPOSITIONAL DATA | |
dc.type | Статья |
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