Titlebook: Random Fields for Spatial Data Modeling; A Primer for Scienti Dionissios T. Hristopulos Textbook 2020 Springer Nature B.V. 2020 Conditional

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More on Estimation,tistical mechanics based on information theory [406, 407]. Following the work of Jaynes, maximum entropy has found several applications in physics [674, 753], image processing [315, 754], and machine learning [521, 561].

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Simulations, The latter are important for the assessment of environmental hazards, the estimation of mineral reserves, and the evaluation of distributed energy resources (solar, wave and aeolian). For such tasks that require a thorough analysis of the spatial variability, simulation is a more reliable tool (Fig. 16.1).

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Spartan Random Fields and Langevin Equations,atisfy Langevin equations driven by a Gaussian white noise process can be expressed in terms of an exponential Gibbs-Boltzmann pdf; the latter has a quadratic energy function that involves local (i.e., based on low-order field derivatives) terms.

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Basic Concepts and Methods of Estimation,res. This chapter examines some of the methods that can be used to estimate the model parameters from available spatial data. The focus will be on the estimation of parameters for stochastic models, instead of the simpler deterministic models examined in Chap. ..

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Dionissios T. Hristopuloss and contributors from whole scope of Archaeological study..Archaeology – the study of human cultures through the analysis and interpretation of artefacts and material remains – continues to captivate and engage people on a local and global level. Internationally celebrated heritage sites such as t

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Dionissios T. Hristopulosge people on a local and global level. Internationally celebrated heritage sites such as the pyramids—both Egyptian and Mayan—Lascaux caves, and the statues of Easter Island provide insights into our ancestors and their actions and motivation. But there is much more to archaeology than famous sites.