TY - JOUR N2 - Anisotropy of variations of Polish mineral deposit parameters is rarely the subject of interest of geologists who carry on the assessment projects . However, if the anisotropy is strong its description and mathematical modeling are rational and justified as it may affect the accuracy of many calculations suitably for mining geology and mining engineering, e.g. estimation of resources and grade of particular raw-material, interpolation of deposit parameters values and construction of their contour maps, designing of optimum grade mining operations or densification of sampling grid. In geostatistics anisotropy is described with directional semivariograms which represent average variability of values of particular deposit parameter in various directions, depending on the distance between sampling sites. Convenient graphic presentation of anisotropy is map of directional semivariograms and good mathematical presentation are functions describing the anisotropy models. The paper presents the results of geostatistical descriptions of various anisotropy types in selected examples of Polish mineral deposits. Taking into account the spherical variability model, the influence of anisotropy on the results of deposit parameters estimations has been theorized for both the interpolation point and calculation block (area). It was found that anisotropy is effective for parameters estimation if three mutually interrelated factors are considered: power of directional diversification of parameters variation, contribution of random component to total, observed variation of parameters and the range of semivariograms (autocorrelation) of parameter referred to the average sampling grid density. The results demonstrate that anisotropy influences much more the estimations of parameters value in interpolation points than those of average values of parameters calculated for particular parts of deposit (calculation blocks). Moreover, anisotropy is unimportant when the random component of variability dominates the overall variability of analyzed parameter. Therefore, the simpler, isotropic variability model can be applied to geostatistical estimations of deposit parameters. L1 - http://journals.pan.pl/Content/85758/PDF/mucha-wasilewska.pdf L2 - http://journals.pan.pl/Content/85758 PY - 2012 IS - No 4 EP - 135 DO - 10.2478/v10269-012-0037-8 KW - deposit parameters KW - geostatistics KW - semivariogram KW - anisotropy KW - ordinary kriging A1 - Mucha, Jacek A1 - Wasilewska-Błaszczyk, Monika PB - Komitet Zrównoważonej Gospodarki Surowcami Mineralnymi PAN PB - Instytut Gospodarki Surowcami Mineralnymi i Energią PAN VL - vol. 28 DA - 2012 T1 - Variability anisotropy of mineral deposits parameters and its impact on resources estimation – a geostatistical approach T1 - Anizotropia zmienności parametrów i jej wpływ na szacowanie zasobów w ujęciu geostatystycznym SP - 113 UR - http://journals.pan.pl/dlibra/publication/edition/85758 T2 - Gospodarka Surowcami Mineralnymi - Mineral Resources Management ER -