Results 31 to 40 of about 6,324 (226)
Mathematics, 2021 Variogram models are a valuable tool used to analyze the variability of a time series; such variability usually entails a spherical or exponential behavior, and so, models based on such functions are commonly used to fit and explain a time series ...
Francisco Gerardo Benavides-Bravo +4 more
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Spatio-temporal mapping of salinity in the heterogeneous coastal aquifer
Applied Water Science, 2019 The interface between freshwater and saltwater in the coastal aquifer is a main factor that is affected by environmental threat and excessive pumping. In this study, a density-dependent numerical model was utilized to simulate the salt distribution of a ...
Ali Ranjbar, Majid Ehteshami
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A study of soil moisture variability for landmine detection by the neutron technique [PDF]
Nuclear Technology and Radiation Protection, 2007 This paper is focused on the space and temporal variability of soil moisture experimental data acquired at a few locations near landmine fields in the Tuzla Canton, as well as on the quantification of the statistical nature of soil moisture data on a ...
Avdić Senada
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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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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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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
openaire +3 more sources
Lost in aggregation? On the importance of local food price data for food poverty estimates
American Journal of Agricultural Economics, EarlyView.Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source