itmlogic.statistics package

Submodules

itmlogic.statistics.avar module

itmlogic.statistics.avar.avar(zzt, zzl, zzc, prop)[source]

Finds the quantiles of attenuation using the output from lrprop (Section V of “The ITS Irregular Terrain Model, version 1.2.2: The Algorithm”).

When in area prediction mode we need a threefold quantile of attenuation corresponding to time, locations and situations. For efficiency, avar is written as a function of the standard normal deviates corresponding to the requested fractions.

Parameters:
  • zzt (float) – Standard normal deviate corresponding to user defined quantile.
  • zzl (float) – Standard normal deviate corresponding to user defined quantile.
  • zzc (float) – Standard normal deviate corresponding to user defined quantile.
  • prop (dict) – Contains all input propagation parameters.
Returns:

  • avar1 (float) – Additional attenuation from the median corresponding to the user defined quantiles in time, location, and situation (Section V of “The ITS Irregular Terrain Model, version 1.2.2: The Algorithm”).
  • prop (dict) – Contains all input and output propagation parameters.

itmlogic.statistics.curv module

itmlogic.statistics.curv.curv(c1, c2, x1, x2, x3, de)[source]

Evaluates empirical curve fits used in the computation of the Vmd, sigma_T-, and sigma_T+ for estimating time variability effects as a function of the climatic region, as described in equations (5.5) through (5.7) of of “The ITS Irregular Terrain Model, version 1.2.2: The Algorithm” and as captured in Figure 10.13 of NBS Technical Note 101.