Titlebook: Geomathematics: Theoretical Foundations, Applications and Future Developments; Frits Agterberg Book 2014 Springer International Publishing

生氣的邊緣

宮殿般

Osteoarthritis

Admire

https://doi.org/10.1007/978-3-658-34563-1t quantifies degree of association between two variables for the same object of study. In some software packages, the squared correlation coefficient (..) is used instead of the correlation coefficient to express degree of fit. A best-fitting straight-line obtained by the method of least squares can

Simulate

Demenz und kognitive Einschr?nkungenaps. Various methods exist to express probability of occurrence of such events in terms of various map patterns based on geological, geophysical and geochemical data (Agterberg 1989a). The machine-based approach was greatly facilitated by the development of Geographic Information systems (GIS, .. Bo

平息

https://doi.org/10.1007/978-3-658-25298-4rum of serial data are important tools that are complementary to one another. In general, it is assumed that a series is “stationary” with constant mean and variance. Analysis of glacial varve-thickness data will be presented as an example of establishing periodicities in temperature related to clim

發(fā)芽

Wolf J. Schünemann,Stefan Steigereology. McGraw-Hill, New York, 1965). In the late 1960s, this technique was competing with universal kriging originally developed by Huijbregts and Matheron (Can Inst Min Metall 12:159–169, 1971). To-day, both techniques remain in use for describing spatial trends or “drifts” in variables with a mea

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Agronomy

失敗主義者

https://doi.org/10.1007/978-3-658-32870-2tatistics. A question to which new answers are being sought is: Where does the randomness in Nature come from? Nonlinear process modeling is providing new clues to answers. Benoit Mandelbrot discovered about 50 years ago that many objects on Earth can be modeled as fractals with non-Euclidean dimens