## sampling_parameter_scale in Uniformly_​Sampled

Name: sampling_parameter_scaleVersion Id: 1.0.0.0
Description: The sampling_parameter_scale element specifies whether the sampling interval is linear or something other such as logarithmic.
Namespace Id: pdsSteward: pdsClass Name: Uniformly_​SampledType: ASCII_​Short_​String_​Collapsed
Minimum Value: NoneMaximum Value: NoneMinimum Characters: 1Maximum Characters: 255
Unit of Measure Type: NoneDefault Unit Id: NoneAttribute Concept: ScaleConceptual Domain: Short_String
Status: ActiveNillable: falsePattern: None
Permissible Value(s)ValueValue Meaning
ExponentialThe values of the independent variable in Exponential Uniformly Sampled data are given at uniform spacing of the exponential of some base b, a positive real number. That is, for independent variable x in the range [x1, xn], the sampling points xj satisfy: b^xj = b^x1 + (j-1)(b^xn - b^x1)/(n-1) for j = 1 ... n where the caret symbol (^) denotes exponentiation. For example, if the independent variable has values 0., 0.30103, 0.47712, 0.60206, ... and the base is 10, then the Exponential Uniformly Spaced data are given at 10^0., 10^0.30103, 10^0.47712, 10^0.60206, ... or 1, 2, 3, 4, ...
LinearValues of Uniformly_Sampled are given at uniform (linear) spacings of an independent variable - for example, 1, 2, 3, 4, ...
LogarithmicThe values of the independent variable, x, in Logarithmic Uniformly Sampled data are given at uniform spacing of the logarithm of x in some base, b, a positive real number. That is, for independent variable x in the range [x1, xn], the sampling points xj satisfy: log_b(xj) = log_b(x1) + (j-1)(log_b(xn) - log_b(x1))/(n-1) for j = 1 ... n where log_b(x) is the log of x in base b. For example, if the independent variable has values 1, 10, 100, 1000, ... and the base is 10, then the Logarithmic Uniformly Spaced data are given at 0, 1, 2, 3 ...