twilight_error_estimation: Estimate the assumed error around a twilight event

In benjamin-merkel/ProMM: probabilistic algorithm for geolocation data

Estimate the assumed error around a twilight event

Description

This function is a visual aid to estimate the assumed error around a twilight event. The determined shape and scale parameters will be used as input for the prob_algorithm function. This function assumes that the error around a twilight event is log normal distributed.

Usage

twilight_error_estimation(shape = 2.49, scale = 0.94, delay = 0)

Arguments

shape	shape parameter of twilight error (in minutes)
scale	scale parameter of twilight error (in minutes)
delay	estimated delay of observed twilight event compared to true twilight event (in minutes)

Details

This function can be used to visualise the error distribution around each twilight event which will be used in the prob_algorithm function. The error is assumed to be log normal distributed. In the case of sunrises, only a small error before and a higher possible error with a long tail after the twilight event is assumed (this is reversed in the case of sunsets).

benjamin-merkel/ProMM documentation built on Sept. 15, 2023, 9:14 a.m.