Results 21 to 30 of about 2,754 (181)
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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Inference for variograms [PDF]
Computational Statistics & Data Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bowman, A.W., Crujeiras, R.M.
openaire +2 more sources
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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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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Stagewise crop yield prediction with multisource functional indices
Canadian Journal of Statistics, EarlyView.Abstract Index insurance design involves integrating weather data, soil moisture, phenology information, and satellite imagery, which presents challenges in data fusion. This article addresses the modelling of multisource functional indices of varying lengths by constructing a stagewise ensemble of sequential models.
Jing Zou, Ostap Okhrin
wiley +1 more source
Frontiers in Earth ScienceExperimental variogram modelling is an essential process in geostatistics. The use of artificial intelligence (AI) is a new and advanced way of automating experimental variogram modelling.
Saâd Soulaimani +6 more
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A geostatistical approach for predicting the top producing formation in oil fields
Geodesy and Cartography, 2012 Drilling engineer's understanding of the subsurface conditions of oil-rich regions in Iran is based on experience and through quantitative assessment of these valuable data.
Mohammad Abdideh, Majed Abyat
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