Titlebook: Spatial Modeling Principles in Earth Sciences; Zekai Sen Book 20091st edition Springer Science+Business Media B.V. 2009 Data mining.Geo-st

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Spatial Modeling,tween the stations (the difference of simultaneous values between each pair of stations) is treated commonly by spatial autocorrelation function, which is used for inter-station dependence based on a set of restrictions..Spatial variability is the main feature of regionalized variables, which are ve

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Spatial Simulation,cally usable starts of digital computers during 1950s. Simulation studies are essential because the existing analytical methods are not sufficiently powerful to prove the validity of the fundamental laws for naturally occurring phenomena, but simulation could do this effectively. Spatial pattern sim

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m configurations. We also compare the proposed Genetic Algorithm based algorithm with two list-scheduling-based algorithms and one simulated-annealing-based algorithm. The comparisons demonstrate that the genetic algorithm based algorithm outperformed the other algorithms in terms of finding more fe

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Zekai Senms on a common footing. By exploiting these commonalities in our attacks on these problems, we find powerful new ways to achieve accur­ate, efficient descriptions of small atoms and molecules, and new insights into the physics of their behavior. There are three components to this presentation: 1) th