Results 71 to 80 of about 6,324 (226)

mmaelicke/scikit-gstat: A scipy flavoured geostatistical variogram analysis toolbox

, 2021
Description SciKit-Gstat is a scipy-styled analysis module for geostatistics. It includes two base classes Variogram and OrdinaryKriging. Additionally, various variogram classes inheriting from Variogram are available for solving directional or space ...
Helge David Schneider, Mirko Mälicke, Egil Möller, Sebastian Müller   +3 more
core   +1 more source

Spatial design matrices and associated quadratic forms: structure and properties [PDF]

The paper provides significant simplifications and extensions of results obtained by Gorsich, Genton, and Strang (J. Multivariate Anal. 80 (2002) 138) on the structure of spatial design matrices.
Hillier, Grant, Martellosio, Federico
core   +1 more source

Reservoir Characterization, variogram estimate, machine learning, Upstream Oil & Gas, agbabu field porosity data, variogram cloud plot, porosity data, estimation, variogram model, variogram [PDF]

, 2019
Deposits of heavy oil and natural bitumen have been long-discovered in the Dahomey basin south-western Nigeria. However, inconsistency in estimates of volumes of hydrocarbon contained in these deposits has inhibited commercial interest in the deposits ...
Orodu, O. D., Ogbe, D O, Mosobalaje, O. O.   +2 more
core   +2 more sources

Spatial behavior of socially isolated wild pigs (Sus scrofa) following sounder removal via trapping

Pest Management Science, Volume 82, Issue 6, Page 5225-5236, June 2026.
Following partial sounder removal, socially isolated wild pigs maintained site fidelity near traps, highlighting post‐control behavioral tendencies that are relevant to pest management and disease mitigation. Abstract BACKGROUND The rapid expansion of wild pig (Sus scrofa) populations across North America, coupled with increased concern over disease ...
Sebastian Gomez‐Maldonado, Matthew T McDonough, Jonathon J Valente, Mark D Smith, Stephen S. Ditchkoff   +4 more
wiley   +1 more source

The SD1 locus affects primary seed dormancy in winter malting barley

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Preharvest sprouting (PHS) resistance and seed dormancy are key targets for malting barley (Hordeum vulgare L.) in environments with a high probability of rain events at harvest. Characterization has been limited in winter malting barley compared to spring malting barley in the United States.
Karl H. Kunze, Travis E. Rooney, Daniel Sweeney, Mark E. Sorrells   +3 more
wiley   +1 more source

Automatic variogram inference using pre-trained Convolutional Neural Networks

Applied Computing and Geosciences
A novel approach is presented for inferring covariance functions from sparse data using Convolutional Neural Networks (CNNs). Two workflows are proposed: (1) direct prediction of variogram model parameters, and (2) prediction of experimental variogram ...
Mokdad Karim, Koushavand Behrang, Boisvert Jeff   +2 more
doaj   +1 more source

Nonparametric Estimation of The Variogram an Application [PDF]

Kirkuk Journal of Science, 2017
This Research Deals with Non Parametric Estimation of Variogram Function . As it is known The Variogram Function is Considered As a very Important Parameter in Investigating The Spatial Dependence for The Spatial Stochastic Process .The Non ...
Taha Yaseen H, Mohammed N.I.Qassim
doaj   +1 more source

Missing comparability: When genomic selection faces field variability. A case study in soybeans

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract The processing of phenotypic information prior to training genomic selection (GS) models is a key factor that is frequently overlooked. Several approaches have been proposed to isolate the genetic signal from the field variability. However, in most cases, the estimated genetic signal still carries the field variability print.
Edmundo Caballero, Julian Garcia‐Abadillo, Diego Jarquin   +2 more
wiley   +1 more source

Generalized product-sum variogram models of the data of the Center of Marine Research

Lietuvos Matematikos Rinkinys, 2004
Environmental data usually depends on both spatial and temporal components. Therefore, it is essential to have statistical models to describe how the data vary across space and time.
Ingrida Krūminienė, Kęstutis Dučinskas   +1 more
doaj   +1 more source

Dynamics off the Congo River and Its Impact on the Water Exchange Between the Coastal and Open Ocean at Different Timescales

Journal of Geophysical Research: Oceans, Volume 131, Issue 6, June 2026.
Abstract The Congo River represents one of the largest freshwater discharges in the Atlantic Ocean. In this study, we investigate the role of mesoscale and submesoscale dynamics in modulating salinity transport, using a 3 km‐resolution realistic numerical simulation.
C. Cardot, I. Dadou, D. C. Napolitano, H. M. A. Aguedjou, R. Ngakala, Y. Morel, G. Morvan, G. Alory, C. Le Goff, G. Jan, J. Jouanno   +10 more
wiley   +1 more source