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Titlebook: Spatial Modeling Principles in Earth Sciences; Zekai Sen Book 2016Latest edition Springer International Publishing Switzerland 2016 Geosta

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楼主: GUST
发表于 2025-3-23 09:53:50 | 显示全部楼层
Spatial Simulation,is not possible, and the only scientific way for the regional and global assessment of these phenomena is through suitable mathematical modeling techniques. The main purpose is to deduce from limited and small samples the general characteristics and finally the generating mechanism of the phenomenon
发表于 2025-3-23 17:16:35 | 显示全部楼层
Book 2016Latest editionc modeling. It is a comprehensive presentation of spatial modeling techniques used in the earth sciences, outlining original techniques developed by the author. Data collection in the earth sciences is difficult and expensive, but simple, rational and logical approaches help the reader to appreciate
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Introduction,tistical, stochastic and recently fuzzy methodologies or their combination for an objective solution of the problem based on field or laboratory data. This chapter provides comparetive and simple explanation of each one of these approaches.
发表于 2025-3-24 00:37:35 | 显示全部楼层
Classical Spatial Variation Models,hould be tested by a convenient test as described in the text. Besides, statistically it is also possible to depict the spatial variation through trend surface fit methods by using least squares technique. Finally in this chapter, adaptive least squares techniques are suggested in the form of Kalman filter for spatial estimation.
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ic, statistical and stochastic techniques.Brings together in.This is a revised and updated second edition, including new chapters on temporal and point uncertainty model, as well as on sampling and deterministic modeling. It is a comprehensive presentation of spatial modeling techniques used in the
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Point and Temporal Uncertainty Modeling,o any methodology, the empirical frequency definition of various types is given, and their connections with the probability theory are explained with examples. Subsequently, probabilistic and statistical prediction modeling tools are presented for independent and dependent processes.
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few hundreds. Thus the processing speed and the gate number of one spectro-correlator unit is a few giga operation per sec and a few mega gates..Now radio astronomers start to discuss the next generation spectrocorrelator system for sub-millimeter observations. It requires the total bandwidth of a f
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Sampling and Deterministic Modeling Methods,rea of influence) should be defined for each measurement location. For this purpose, this chapter presents different spatial methodologies including regionalization, inverse distance methods, triangularization, polygonizations. areal coverage probability, regional extreme value probabilities, and sp
发表于 2025-3-25 00:26:29 | 显示全部楼层
Spatial Dependence Measures, influence, if necessary along any direction, and their regional contour maps provide the radius of influence at non-measurement locations. Once the radius of influence is known, then it is possible to depict which nearby measurement locations should be taken into consideration in the calculation of
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