Results 101 to 110 of about 917,096 (229)
ISPRS International Journal of Geo-Information, 2017 In this study, different interpolation techniques are presented, assessed, and compared for the estimation of soil iron (Fe) contents in locations where observations were not available.
Panagiotis Tziachris +3 more
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On Prediction Properties of Kriging: Uniform Error Bounds and Robustness
, 2019 Kriging based on Gaussian random fields is widely used in reconstructing unknown functions. The kriging method has pointwise predictive distributions which are computationally simple. However, in many applications one would like to predict for a range of
Tuo, Rui, Wang, Wenjia, Wu, C. F. Jeff
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Linking Universal Kriging and Reservoir History Matching
Proceedings of SPE Annual Technical Conference and Exhibition, 1993 ABSTRACT This paper describes how the framework developed for universal kriging can accommodate a general formulation of the reservoir history matching problem. We illustrate this framework with simple examples, and then show that the specification of the required covariances and correlations provides an opportunity to introduce ...
openaire +2 more sources
, 2018 Models are often defined through conditional rather than joint distributions, but it can be difficult to check whether the conditional distributions are compatible, i.e. whether there exists a joint probability distribution which generates them.
Muré, Joseph
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Comparison of Some Geostatistical and Deterministic Interpolation Methods for Estimating Depth to the Water Table (Case study: The Iranshahr- Bampour Plain) [PDF]
مهندسی منابع آب, 2017 In this study, some interpolation methods were evaluated for estimating groundwater depth in the Iranshahr- Bampour Plain during 2003, 2007 and 2012 in the months of May and October.
Omlbanin Podineh, Masoomeh Delbari
doaj
Spatial interpolation methods for monthly rainfalls and temperatures in Basilicata
Forest@, 2008 Spatial interpolated climatic data on grids are important as input in forest modeling because climate spatial variability has a direct effect on productivity and forest growth. Maps of climatic variables can be obtained by different interpolation methods
Ferrara A +3 more
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Application of universal kriging for prediction pollutant using GStat R
, 2017 In the universe, the air and water is a natural resource that is a very big function for living beings. The air is a gas mixture contained in a layer that surrounds the earth and the components of the gas mixture is not always constant.
A. N. Falah +2 more
semanticscholar +1 more source
Comparison of Gaussian process modeling software [PDF]
, 2016 Gaussian process fitting, or kriging, is often used to create a model from a set of data. Many available software packages do this, but we show that very different results can be obtained from different packages even when using the same data and model ...
Ankenman, Bruce E. +2 more
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Sustainable Environment Research, 2019 Digital soil mapping for soil texture is mostly an understanding of how soil texture fractions vary in space as influenced by environmental variables mainly derived from the digital elevation model (DEM).
Jeremy P. Mondejar, Alejandro F. Tongco
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Revista Brasileira de MeteorologiaThe São Francisco River Basin (SFRB) is extremely important for both the local rural and urban population, running through several states and municipalities in Brazil.
Elias Silva de Medeiros +6 more
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