Multiple-point geostatistical modeling based on the cross-correlation functions

Tahmasebi, Pejman; Hezarkhani, Ardeshir; Sahimi, Muhammad

doi:10.1007/s10596-012-9287-1

Cited by 257 publications

(125 citation statements)

References 66 publications

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“…The globalization process in informational sphere is the functioning of multidimensional process, based on interaction of information creation and distribution means, which, by means of concentration of joint forces, form the principally new level of information impact on the society (Tahmasebi et al, 2012). There appears a hologram, which has a significant impact on real processes in the society and forms them to a great extent.…”

Section: Discussionmentioning

confidence: 99%

Linguo-Propaedeutics of Ethnic Conflicts as a Basis for Stability in Complex Polyethnic Regions

Zamaletdinov¹,

Karabulatova²,

Yarmakeev³

et al. 2014

ASS

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The purpose of the suggested article is to analyze the ethno-linguo-conflictogenity of the modern world based on desharmonizing environment of globalization phenomenon in such migrant-capacious and ethnically complex regions, as Tatarstan and Tyumen Region. Today we observe a tendency for blending of dissimilar elements not only in the society, but also in the psychic of a definite person. The authors suggest the ethno-linguo-propaedeutics to solve the stabilization problems in complex polyethnic regions. By the example of the Tatarstan Republic and Tyumen Region, the authors show the definite ways to implement the linguistic and national safety. Separate moments of the studied problem were reflected to some extent in the works of culture experts, sociologists, politologists, philosophers, philologers, psychologists and pedagogues. However, in these materials, the study problems of the linguo-propaedeutics, as a guarantor of state integrity, were either not considered at all, or were presented fragmentarily, without any attempts to analyze it thoroughly. The suggested work presents an attempt to solve these problems in a complex approach. The authors reasonably prove that there is a need in a new approach to analyze the preventive problems of ethnic conflicts, based on linguistic transformation methods of mental space of the linguistic personality. The suggested new construct "poly-linguo-cultural linguistic personality" is developed by the authors based on the analysis of speech behavior of bilinguals in Post-Soviet space, who speak Russian, but many elements in their mental worldview are replaced with the foreign national components, even if the Russian variant is present. The authors, for the first time, suggest a new approach for tolerance formation and prevention of interethnic conflicts; they name it as an ethno-psycho-linguo-propaedeutic approach. The suggested approach covers different levels of competences: it involves the linguistic competence itself, ethnolinguistic and sociolinguistic competences at the linguistic level; it involves psychological and ethnopsychological competences at psychological level; it involves linguo-cross-cultural, culturological and common cultural competences at sociocultural level; it involves communicative, social and pedagogical-propaedeutic competences at the communicative-propaedeutic level. Ethno-linguo-propaedeutic approach suggested and brought into practice by the authors, helps to pass on from the ethnocentrism position to cultural relativism. It opens great horizons for the interested representatives of the whole humanitarian science. The authors suggest using both interactive technologies and vivid training work for linguo-propaedeutics of ethnic conflicts. The achievement of the set aim of modern ethno-linguo-propaedeutics is connected with the solution of the following fundamental tasks: 1) to imagine yourself behind the limits of your own ethnocultural area; 2) to understand and realize the variety of the world, we live in,; 3) to get acquainted with d...

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Section: Discussionmentioning

confidence: 99%

Linguo-Propaedeutics of Ethnic Conflicts as a Basis for Stability in Complex Polyethnic Regions

Zamaletdinov¹,

Karabulatova²,

Yarmakeev³

et al. 2014

ASS

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“…A second family of methods was later developed, termed pattern-based, which is characterized by generating groups of pixels simultaneously (patches). Patterns borrowed from the training image are assembled such that they overlap as seamlessly as possible (Arpat and Caers, 2007;El Ouassini et al, 2008;Honarkhah and Caers, 2010;Tahmasebi et al, 2012a;Zhang et al, 2006). At the same time, pixel-based methods continued to be developed (Boucher, 2009;Huysmans and Dassargues, 2011;Mustapha et al, 2011;Straubhaar et al, 2011), such that today these two families of methods coexist.…”

Section: A Brief Historical Perspectivementioning

confidence: 99%

Bridges between multiple-point geostatistics and texture synthesis: Review and guidelines for future research

Mariethoz

Lefèbvre

2014

Computers & Geosciences

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a b s t r a c tMultiple-Point Simulations (MPS) is a family of geostatistical tools that has received a lot of attention in recent years for the characterization of spatial phenomena in geosciences. It relies on the definition of training images to represent a given type of spatial variability, or texture. We show that the algorithmic tools used are similar in many ways to techniques developed in computer graphics, where there is a need to generate large amounts of realistic textures for applications such as video games and animated movies. Similarly to MPS, these texture synthesis methods use training images, or exemplars, to generate realistic-looking graphical textures.Both domains of multiple-point geostatistics and example-based texture synthesis present similarities in their historic development and share similar concepts. These disciplines have however remained separated, and as a result significant algorithmic innovations in each discipline have not been universally adopted. Texture synthesis algorithms present drastically increased computational efficiency, patterns reproduction and user control. At the same time, MPS developed ways to condition models to spatial data and to produce 3D stochastic realizations, which have not been thoroughly investigated in the field of texture synthesis.In this paper we review the possible links between these disciplines and show the potential and limitations of using concepts and approaches from texture synthesis in MPS. We also provide guidelines on how recent developments could benefit both fields of research, and what challenges remain open.

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“…These latter methods use patterns database built from the training image and are also based on multiple grid approaches. Other patchbased MPS algorithms not using multiple grids nor databases consist in pasting overlapping boxes of pixels along a raster path, by minimizing a cross-correlation function over the overlapping region in the algorithm ccsim (Tahmasebi et al, 2012), or by minimizing an error between the common area followed by an optimal cut through this area in the algorithm conditional image quilting (CIQ) (Mahmud et al, 2014). Theses methods allow to better model the connectivity of the structures, but make the conditioning difficult.…”

Section: Introductionmentioning

confidence: 99%

Conditioning multiple-point statistics simulations to block data

2016

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a b s t r a c tMultiple-points statistics (MPS) allows to generate random fields reproducing spatial statistics derived from a training image. MPS methods consist in borrowing patterns from the training set. Therefore, the simulation domain is assumed to be at the same resolution as the conceptual model, although geometrical deformations can be handled by such techniques. Whereas punctual conditioning data corresponding to the scale of the grid node can be easily integrated, accounting for data available at larger scales is challenging. In this paper, we propose an extension of MPS able to deal with block data, i.e. target mean values over subsets of the simulation domain. Our extension is based on the direct sampling algorithm and consists to add a criterion for the acceptance of the candidate node scanned in the training image to constrain the simulation to block data. Likelihood ratios are used to compare the averages of the simulated variable taken on the informed nodes in the blocks and the target mean values. Moreover, the block data may overlap and their support can be of any shape and size. Illustrative examples show the potential of the presented algorithm for practical applications.

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Multiple-point geostatistical modeling based on the cross-correlation functions

Cited by 257 publications

References 66 publications

Linguo-Propaedeutics of Ethnic Conflicts as a Basis for Stability in Complex Polyethnic Regions

Linguo-Propaedeutics of Ethnic Conflicts as a Basis for Stability in Complex Polyethnic Regions

Bridges between multiple-point geostatistics and texture synthesis: Review and guidelines for future research

Conditioning multiple-point statistics simulations to block data

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