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  2. Template:CFB Team Depth Chart - Wikipedia

    en.wikipedia.org/wiki/Template:CFB_Team_Depth_Chart

    This parameter is 100 by default, and values between approximately 50 and 150 should work well, depending on the viewers settings. When modifying this parameter, consider the need to also set the FontSize parameter to a value consistent with the new column width. The template provides "3-Deep" depth chart capability, if desired.

  3. Fan chart (time series) - Wikipedia

    en.wikipedia.org/wiki/Fan_chart_(time_series)

    In time series analysis, a fan chart is a chart that joins a simple line chart for observed past data, by showing ranges for possible values of future data together with a line showing a central estimate or most likely value for the future outcomes. As predictions become increasingly uncertain the further into the future one goes, these ...

  4. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    ) and the interpolation problem consists of yielding values at arbitrary points (,,, … ) {\displaystyle (x,y,z,\dots )} . Multivariate interpolation is particularly important in geostatistics , where it is used to create a digital elevation model from a set of points on the Earth's surface (for example, spot heights in a topographic survey or ...

  5. Intensity-duration-frequency curve - Wikipedia

    en.wikipedia.org/wiki/Intensity-duration...

    To get an IDF curves from a probability distribution, it is necessary to mathematically isolate the total amount or depth of the event , which is directly related to the average intensity and the duration , by the equation =, and since the return period is defined as the inverse of (), the function is found as the inverse of (), according to:

  6. Bicubic interpolation - Wikipedia

    en.wikipedia.org/wiki/Bicubic_interpolation

    In mathematics, bicubic interpolation is an extension of cubic spline interpolation (a method of applying cubic interpolation to a data set) for interpolating data points on a two-dimensional regular grid.

  7. Regression-kriging - Wikipedia

    en.wikipedia.org/wiki/Regression-kriging

    In applied statistics and geostatistics, regression-kriging (RK) is a spatial prediction technique that combines a regression of the dependent variable on auxiliary variables (such as parameters derived from digital elevation modelling, remote sensing/imagery, and thematic maps) with interpolation of the regression residuals.

  8. Nearest-neighbor interpolation - Wikipedia

    en.wikipedia.org/wiki/Nearest-neighbor_interpolation

    Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate interpolation in one or more dimensions. Interpolation is the problem of approximating the value of a function for a non-given point in some space when given the value of that function in points around ...

  9. Barnes interpolation - Wikipedia

    en.wikipedia.org/wiki/Barnes_interpolation

    Barnes proposed an objective scheme for the interpolation of two dimensional data using a multi-pass scheme. [3] [4] This provided a method to interpolating sea-level pressures across the entire United States of America, producing a synoptic chart across the country using dispersed monitoring stations. Researchers have subsequently improved the ...