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geologic faults will produce abrupt changes Lam (1983) and Burrough (1986) describe a variety of quantitative interpolation methods suitable forputer contouring algorithms in this and the optimal dynamic trading strategies with risk limits sections, these are divided into exact and approximate methods this section deals with exact methods all values are assumed to be equal to the nearest known point is a local interpolator computing load is relatively light output data structure is Thiessen polygons with abrupt changes at boundaries has ecological applications such as territories and influence zones best for nominal data although originally used by Thiessen forputing areal estimates optimal dynamic trading strategies with risk limits rainfall data optimal dynamic trading strategies with risk limits absolutely robust, always produces a result, but has no "intelligence" about the system being analyzed available in very few mapping packages, SYMAP is a notable exception uses a piecewise polynomial to provide a series of patches resulting in a surface that has continuous first and second derivatives ensures continuity in: elevation (zero-order continuity) - surface has no cliffs slope (first-order continuity) - slopes do not change abruptly, there are no kinks in contours curvature (second order continuity) - minimum curvature optimal dynamic trading strategies with risk limits achieved produces a continuous surface with minimum curvature output data structure is points on a raster note that maxima and minima do not necessarily occur at the data points is a local interpolator can be exact or used to smooth surfaces computing load is moderate best for very smooth surfaces poor for surfaces which show optimal dynamic trading strategies with risk limits fluctuations, this can cause wild oscillations in the spline are popular in general surface interpolation packages but are notmon in GISs can be approximated by smoothing contours drawn through a TIN model see Burrough (1986), Davis (1986) and mathematical aspects in Lam (1983) and Hearn and Baker (1986) also described in "numerical approximation theory" developed by Georges Matheron, as the "theory of regionalized variables", and D.

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