Results 171 to 180 of about 3,459 (219)

Geostress in the Ordovician system of the northern segment of the Shunbei No. 4 fault zone based on finite element simulation. [PDF]

Sci Rep
Feng X, Qian Z, Zhou L, Huo S, Liu J.
europepmc   +1 more source

Air pollution and mortality for cancer of the respiratory system in Italy: an explainable artificial intelligence approach. [PDF]

Front Public Health
Romano D, Novielli P, Cilli R, Amoroso N, Monaco A, Bellotti R, Tangaro S.   +6 more
europepmc   +1 more source

A neural network-based automatic semi-variogram modeling approach for geomagnetic map construction in multi-source indoor and outdoor navigation. [PDF]

Sci Rep
Zhan C, Huang P, Xue B, Lan B.
europepmc   +1 more source

Remote and Proximal Sensors Data Fusion: Digital Twins in Irrigation Management Zoning. [PDF]

Sensors (Basel)
Rodrigues H, Ceddia MB, Tassinari W, Vasques GM, Brandão ZN, Morais JPS, Oliveira RP, Neves ML, Tavares SRL.   +8 more
europepmc   +1 more source

Spatial mapping and determinants of intimate partner violence among married women in Sierra Leone: A cross-sectional study. [PDF]

PLoS One
Osborne A, Sesay U, Bangura C, Fornah L.
europepmc   +1 more source

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The effect of drift on the experimental semivariogram

Journal of the International Association for Mathematical Geology, 1982
When nonlinear drift is present, the nature of the bias in the experimental semivariogram estimator of the semivariogram function is determined by the extent and density of the sampling as well as by the drift function itself. The bias caused by drift may affect the interpretation of the experimental semivariogram over its entire range.
T. H. Starks, J. H. Fang
exaly   +2 more sources

Regularization of a semivariogram

Computers and Geosciences, 1977
Abstract The production of estimates using the technique of kriging, and the evaluation of the accuracy of these estimates depends completely on the production of a model for the semivariogram of the deposit. The process of choosing such a model can be complicated in practice by the bulk and geometry of the samples taken. Some aspects of this problem
exaly   +2 more sources

On the modelling of sand bedforms using the semivariogram

Earth Surface Processes and Landforms, 1988
AbstractThis study shows the usefulness of the semivariogram for modelling sand ripples created by water flows of varied flow intensity. A combination of two mathematical functions is fitted to each sample semivariogram, that is an exponential (or stochastic) component and a periodic component.
André Robert, Keith Richards
exaly   +2 more sources

Semivariogram modeling by weighted least squares

Computers and Geosciences, 1996
Abstract Permissible semivariogram models are fundamental for geostatistical estimation and simulation of attributes having a continuous spatiotemporal variation. The usual practice is to fit those models manually to experimental semivariograms.
Ricardo A Olea, Yun-Sheng Yu
exaly   +2 more sources