نتایج جستجو برای: geostatistical simulation

تعداد نتایج: 561254  

1996
A. W. A. Murray

Data from the acoustic surveys of MV SA ‘‘Agulhas’’ and FRV ‘‘Walther Herwig’’, and the 1981 RRS ‘‘John Biscoe’’ South Georgia acoustic survey were analysed by geostatistical methods. Estimates of mean density (g m) of krill and their variances are compared with published results from statistical analyses based on random sampling theory. A further high-resolution geostatistical analysis of the ...

1998

The zeolitic threshold method used in previous chapters is replaced with more rigorous geostatistical modeling. With this more sophisticated modeling approach, we examine whether using a threshold cutoff for zeolitic abundance is an appropriate upscaling method for characterizing small scale heterogeneity. Geostatistical techniques are used to develop variograms, kriging maps, and conditional s...

2007
J. Negreiros M. Painho A. C. Costa J. Santos I. Lopes

Most spatial analysis computer programs are available on the ‘World Wide Wait’ leading this framework to a new GIS platform. Ultimately, this world expects fast answers because if it works then it is obsolete. To review and to evaluate the present spatial geostatistical analysis software and withdraw major conclusions regarding its implementation status are the major goal of th...

Journal: :Trans. GIS 2006
Edzer J. Pebesma

Although many geostatistical studies only study a measured attribute in relation to its spatial coordinates, this paper argues that other layers in the GIS database can be of additional use for spatial prediction purposes. They may enter the prediction equations as predictors in a regression model, or as correlated measurements. In an example we will show how this is done for predicting PCB138,...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعت آب و برق (شهید عباسپور) - دانشکده مهندسی برق و کامپیوتر 1392

abstract according to increase in electricity consumption in one hand and power systemsreliability importance in another , fault location detection techniqueshave beenrecentlytaken to consideration. an algorithm based on collected data from both transmission line endsproposed in this thesis. in order to reducecapacitance effects of transmission line, distributed parametersof transmission line...

2007
Weidong Li Chuanrong Zhang

With the proposition of a Markov chain random field (MCRF) theory and its accompanying spatial measure – the transiogram, Markov chain has been extended into a nonlinear Markov chain-based geostatistical approach for one to multi-dimensional conditional (or unconditional) simulation, called Markov chain geostatistics (MCG). This new approach has nonlinear estimators, considers conditional indep...

Journal: :American journal of physical anthropology 2008
John H Relethford

A variety of methods have been used to make evolutionary inferences based on the spatial distribution of biological data, including reconstructing population history and detection of the geographic pattern of natural selection. This article provides an examination of geostatistical analysis, a method used widely in geology but which has not often been applied in biological anthropology. Geostat...

2006
STEVEN F ASHBY ROBERT D FALGOUT

This paper discusses the numerical simulation of groundwater ow through heterogeneous porous media The focus is on the performance of a parallel multigrid preconditioner for accelerating convergence of conjugate gradients which is used to compute the pressure head The numerical investigation considers the e ects of boundary conditions coarse grid solver strategy increasing the grid resolution e...

2010
Tapan Mukerji Carmen Gomez Bin Jia

Over the decades there have been important advances in high resolution reservoir characterization, including advances in seismic data acquisition, instrumentation, processing, inversion, and integration of different data. The need for high resolution characterization has been driven by the need to capture realistically and with increasing accuracy the complexity of the subsurface. Seismic imagi...

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