Abstract
The gamma isofactorial model is more suitable for describing natural phenomena with skewed distributions than is the gaussian isofactorial model. In this paper, we first review the gamma model. Then, starting from two simulations of stationary gamma processes (diffusion and mosaic), we estimate local distribution functions using disjunctive kriging (D.K.) and indicator kriging (I.K.). The results are compared with the empirical distributions provided by the simulations.
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© 1989 Springer Science+Business Media Dordrecht
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Hu, L.Y. (1989). Comparing Gamma Isofactorial Disjunctive Kriging and Indicator Kriging for Estimating Local Spatial Distributions. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_25
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DOI: https://doi.org/10.1007/978-94-015-6844-9_25
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