Results 111 to 120 of about 6,324 (226)

How Variable Are Cold Pools?

Geophysical Research Letters
Cold pools formed by precipitating convective clouds are an important source of mesoscale temperature variability. However, their sub‐mesoscale (100 m–10 km) structure has not been quantified, impeding validation of numerical models and understanding of ...
Leah D. Grant, Bastian Kirsch, Jennie Bukowski, Nicholas M. Falk, Christine A. Neumaier, Mirjana Sakradzija, Susan C. van denHeever, Felix Ament   +7 more
doaj   +1 more source

Trace-variogram and variogram fit to the COVID-19 functional dataset.

The exponential variogram model was fit to trace-variogram estimates (blue filled circles) used to weight the dissimilarity matrix in hierarchical clustering (as in Eq 7). The x-axis refers to the Euclidean distance between pairs of municipalities, while
Leonardo Azevedo (17889316), André Peralta Santos (5629808), Maria João Pereira (7877300), Manuel Ribeiro (17889313), Pedro Pinto Leite (13783139)   +4 more
core   +1 more source

Semi-variogram plot of background radiation measurements.

, 2019
Semi-variogram plot of background radiation measurements.
Jifu Zhao (6655589), Clair J. Sullivan (6655592), Zhe Zhang (81603)   +2 more
core   +1 more source

The variogram estimators of the stationary stochastic processes [PDF]

, 2009
The development of methods to detect investigation of an intrinsically-stationary stochastic processes and fields is a very important problem in data analysis.
Tsekhavaya, T. V.
core   +1 more source

Revarie: A Variogram Calculation Tool

, 2020
Presented at the 2020 University of Michigan Data Science SymposiumRevarie (https://github.com/deanrp2/revarie) is a variographical toolset packaged as a Python library which is targeted towards computational physics applications.
Radaideh, Majdi, Kochunas, Brendan, Price, Dean   +2 more
core  

Properties of the intrinsically stationary stochastic processes

Журнал Белорусского государственного университета: Математика, информатика, 2017
Intrinsically stationary random processes with continuous time are investigated. Their connections with second-order stationary processes and processes with the second-order stationary increments are studied.
Tatsiana V. Tsekhavaya
doaj  

Expert elicitation for the variogram

, 2012
The variogram is the keystone of Kriging. Much research has been devoted to modelling the variogram from structural analysis of observations. However, there are many instances when the variogram is needed and there are no observations to base on.
Heuvelink, G.B.M., Gosling, J.P., Truong, N.P.   +2 more
core  

G-SIVAR: A Global Spatial Indicator Based on Variogram

, 2019
Among the exploratory spatial data analysis tools, there are indicators of spatial association, which measure the degree of spatial dependence of analysed data and can be applied to quantitative data.
Pitombo, Cira Souza, Naizer, Cláudia Cristina Baptista Ramos, Rodrigues, David Souza, Junior, Jorge Ubirajara Pedreira   +3 more
core   +2 more sources

The variogram of the uniform transform of a random field

, 1996
In the Probability Field Simulation algorithm (Froidevaux, 1992), it is required to model the variogram of the uniform transform of a random field. The properties of this last variogram are not well-known in literature.
POSA, Donato, De Cesare L.
core   +1 more source

Optimization of crop rotations based on geostatistical analysis of soil acidity and earth remote sensing data, taking into account financial costs

Бюллетень Почвенного института им. В.В. Докучаева
The article presents the possibilities of detailed analysis of the spatial distribution of soil acidity to reduce liming costs and optimise land use in five working areas of the experimental farm “Gutko S.”.
A. L. Kindeev, F. S. Gytko
doaj   +1 more source