Results 21 to 30 of about 2,881 (187)
Statistical and Geostatistical Appraisal of Spatial Variability of Aggregate Stability and Aggregate-Associated Organic Carbon Content on a Catchment Scale in a Semi-arid Region, Central Iran [PDF]
Desert, 2012 In a semiarid region of central Iran, effects of parent materials, physiography and landscape position, land use, andmanagement practices on association of organic carbon with secondary (aggregates) particles and aggregate stability canhave important ...
H.R. Motaghian, J. Mohammadi
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Wavelets and the Generalization of the Variogram
Mathematical Geology, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bosch, E. H., Oliver, M. A., Webster, R.
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Texture feature extraction of coal-rock image based on variogram and local variance image
Gong-kuang zidonghua, 2018 In view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction ...
HUANG Lei, GUO Chaoya
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Checking Process Stability with the Variogram [PDF]
Quality Engineering, 2005 Modern quality control methods are increasingly being used to monitor complex industrial processes. A key requirement for such methods is the derivation of long records.
Bisgaard, S., Kulahci, M.
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Remote Sensing, 2012 A detailed introduction to variogram analysis of reflectance data is provided, and variogram parameters (nugget, sill, and range values) were examined as possible indicators of abiotic (irrigation regime) and biotic (spider mite infestation) stressors ...
Christian Nansen
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Leveraging Deep Learning for Automated Experimental Semivariogram Fitting
AtmosphereThe variogram function is a crucial tool for quantifying spatial correlation and a key component of Kriging interpolation, directly influencing the accuracy of interpolation results.
Siyu Yu, Lifang Zhao, Shaohua Li
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Journal of Hydrology X, 2019 When using a ground water elevation dataset for the development of a ground water model, it is prudent to first evaluate the quality of the data before using it in a ground water model.
Zane D. Helwig +3 more
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Spatial distribution pattern analysis using variograms over geographic and feature space
Geo-spatial Information ScienceVariogram analysis is effective in revealing the spatial distribution patterns of geographic variable(s). Yet, existing variograms mostly focus on the impact of spatial correlation on the variable variation and neglect the impact of geographic ...
Fang-He Zhao, A-Xing Zhu, Cheng-Zhi Qin
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Variogram estimation in the presence of trend [PDF]
Statistics and Its Interface, 2012 Estimation of covariance function parameters of the error process in the presence of an unknown smooth trend is an important problem because solving it allows one to estimate the trend nonparametrically using a smoother corrected for dependence in the errors.
Bliznyuk, Nikolay +3 more
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Hydrology, 2019 In Eastern Canada, the snow survey network is highly optimized at the operational scale. However, it is commonly accepted that the network is limited when it comes to studying the spatial variability of the snow water equivalent (SWE), which forms ...
Yawu Noumonvi Sena +3 more
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