Titlebook: Earth Surface Systems; Richard J. Huggett Book 1985 Springer-Verlag Berlin Heidelberg 1985 Earth.Oxide.Sediment.Systems.soil

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https://doi.org/10.1007/978-1-4419-8760-0and correlation, which are used for establishing relationships between variables; to complex multivariate models, such as multivariate regression, multivariate correlation, canonical correlation, multidimensional scaling, and principal component analysis, which enable relationships to be detected within sets of variables.

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Tonya N. Davis,Jessica S. Akerse the theoretical base for the new generation of mathematical models dealing with dissipative structures, multiple equilibria, bifurcations, and catastrophes which hold out the promise of combining short-term and long-term landscape changes within a single framework.

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Statistical Modelsand correlation, which are used for establishing relationships between variables; to complex multivariate models, such as multivariate regression, multivariate correlation, canonical correlation, multidimensional scaling, and principal component analysis, which enable relationships to be detected within sets of variables.

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Ordinary Least Squares Regression,profile as a continuous curve which is produced either by an analytical solution to an equation of slope development in which some assumption is made as to the relation between slope processes and slope form, or by an analytical solution to a slope development equation derived from the continuity co

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微枝末节

Form and Process Systemsaterial-property variables, and mass-flow variables. Geometry variables have the dimension of length or are dimensionless ratios of length. They are used to describe a system in terms of size and shape. Material-property and mass-flow variables describe the constitution of a system.