Results 71 to 80 of about 1,524 (177)
Linking Universal Kriging and Reservoir History Matching
ABSTRACT This paper describes how the framework developed for universal kriging can accommodate a general formulation of the reservoir history matching problem. We illustrate this framework with simple examples, and then show that the specification of the required covariances and correlations provides an opportunity to introduce ...
openaire +2 more sources
In this study, different interpolation techniques are presented, assessed, and compared for the estimation of soil iron (Fe) contents in locations where observations were not available.
Panagiotis Tziachris +3 more
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Comparison of Some Geostatistical and Deterministic Interpolation Methods for Estimating Depth to the Water Table (Case study: The Iranshahr- Bampour Plain) [PDF]
In this study, some interpolation methods were evaluated for estimating groundwater depth in the Iranshahr- Bampour Plain during 2003, 2007 and 2012 in the months of May and October.
Omlbanin Podineh, Masoomeh Delbari
doaj
Spatial interpolation methods for monthly rainfalls and temperatures in Basilicata
Spatial interpolated climatic data on grids are important as input in forest modeling because climate spatial variability has a direct effect on productivity and forest growth. Maps of climatic variables can be obtained by different interpolation methods
Ferrara A +3 more
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Digital soil mapping for soil texture is mostly an understanding of how soil texture fractions vary in space as influenced by environmental variables mainly derived from the digital elevation model (DEM).
Jeremy P. Mondejar, Alejandro F. Tongco
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The São Francisco River Basin (SFRB) is extremely important for both the local rural and urban population, running through several states and municipalities in Brazil.
Elias Silva de Medeiros +6 more
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Exploratory disease mapping: kriging the spatial risk function from regional count data
Background There is considerable interest in the literature on disease mapping to interpolate estimates of disease occurrence or risk of disease from a regional database onto a continuous surface.
Berke Olaf
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Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction
This study advances environmental monitoring by predicting the spatial and temporal distribution of Harmful Algal Blooms (HABs) in the Republic of Korea through a hybrid approach that combines geostatistical and deep learning methods.
Sung Jae Kim, Yongbok Cho
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Universal Kriging for Accurate Shadow Fading Modeling in LOS/NLOS Conditions
Traditional path loss (PL) models often fail to capture the spatial characteristics of wireless channels in environments combining line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, where shadow fading exhibits clear spatial non-stationarity ...
Melissa E. Diago-Mosquera +2 more
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Interpolation and Synthesis of Sparse Samples in Exoplanet Atmospheric Modeling
This paper highlights methods from geostatistics that are relevant to the interpretation, intercomparison, and synthesis of atmospheric model data, with a specific application to exoplanet atmospheric modeling.
Jacob Haqq-Misra +3 more
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