Modeling Non-Stationary Processes Through Dimension Expansion [PDF]
, 2011 In this paper, we propose a novel approach to modeling nonstationary spatial fields. The proposed method works by expanding the geographic plane over which these processes evolve into higher dimensional spaces, transforming and clarifying complex ...
Bornn, Luke +2 more
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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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Efficient simulation of Brown-Resnick processes based on variance reduction of Gaussian processes [PDF]
, 2018 Brown-Resnick processes are max-stable processes that are associated to Gaussian processes. Their simulation is often based on the corresponding spectral representation which is not unique.
Oesting, Marco, Strokorb, Kirstin
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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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Decomposing Dual Scale Soil Surface Roughness for Microwave Remote Sensing Applications [PDF]
, 2012 Soil surface roughness, as investigated in this study, is decomposed in a dual scale process. Therefore, we investigated photogrammetrically acquired roughness information over different agricultural fields in the size of 6-22 m(2) and decomposed them ...
Aguilar +29 more
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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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Mixed effect model for absolute log returns of ultra high frequency data [PDF]
, 2005 The influence of covariates on absolute log returns of ultra high frequency data is analysed. Therefore we construct a mixed effect model for the absolute log returns. The parameters are estimated in a state space approach.
Czado, Claudia, Haug, Stephan
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Geostatistical simulation of two-dimensional fields of raindrop size distributions at the meso-¿ scale [PDF]
, 2009 The large variability of the raindrop size distribution (DSD) in space and time must be taken into account to improve remote sensing of precipitation. The ability to simulate a large number of 2-D fields of DSDs sharing the same statistical properties ...
Berne, A. +2 more
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