Results 71 to 80 of about 18,926 (180)
Cross-Covariance Functions for Multivariate Geostatistics
Continuously indexed datasets with multiple variables have become ubiquitous in the geophysical, ecological, environmental and climate sciences, and pose substantial analysis challenges to scientists and statisticians.
Genton, Marc G., Kleiber, William
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The presenting company provided data on the performance of a dragline over a four-week period during which four different buckets were used.
Robinson, G.
core
Consistency of spatial dependence of soil chemical properties in two fields: a geostatistical study
This study examined consistency of spatial variation of plant-available soil nutrients P, K, Mg and soil pH in two fields of an area of 54 and67.5 ha(haplic Luvisol and luvic Chernozem) in the region of Český Brod (Central Bohemia).
L. Brodský +3 more
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Accounting for Geometric Anisotropy in Sparse Magnetic Data Using a Modified Interpolation Algorithm
The construction of a high-precision geomagnetic map is a prerequisite for geomagnetic navigation and magnetic target-detection technology. The Kriging interpolation algorithm makes use of the variogram to perform linear unbiased and optimal estimation ...
Haibin Li +11 more
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Selection of a semivariogram model in the study of spatial distribution of soil moisture
The paper presents a selection of a semivariogram model in the study of spatial variability of soil moisture in a loess agricultural catchment. Soil moisture tests were carried out in the Moszenki village, 15 km northwest of Lublin.
Obroślak Radomir +1 more
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Kriging algorithm for mapping the gravimetric data in the north of Algeria
The purpose of this work is to analyze and validate the gravimetric information in the study area in order to highlight the valid data for mapping the gravity anomaly from a grid generated by interpolation. In this context, we have performed a first step
Ilies Benikhlef +2 more
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Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)
Kriging is one of the geostatistical techniques for spatial data analysis that is usually used for a modelling of natural phenomena or a creation of digital elevation models.
Zůvala Robert +2 more
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In this study, firstly, a practical and educational geostatistical program (JeoStat) was developed, and then example analysis of porosity parameter distribution, using oilfield data, was presented.
Mert Bayram Ali, Dag Ahmet
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J-Block Triassic Well Performance & Reservoir Heterogeneity [PDF]
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Patel, Akash, Patel, Akash
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Cold pools formed by precipitating convective clouds are an important source of mesoscale temperature variability. However, their sub‐mesoscale (100 m–10 km) structure has not been quantified, impeding validation of numerical models and understanding of ...
Leah D. Grant +7 more
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