cu_add_argos_cols: Add columns for modeling FastGPS and ARGOS error structure in...

In dsjohnson/crawlUtils: Enhance And Integrate the {crawl} Package For Spatial Analysis Of Telemetry Output

Add columns for modeling FastGPS and ARGOS error structure in the same telemetry deployment

Description

Columns are added to the telemetry data set so that multiple data types can be used simultaneously within the same animal: FastGPS, Argos least-squares, and Argos Kalman filter.

Usage

cu_add_argos_cols(x, units = "meter")

Arguments

x	Data frame containing location telemetry data and Argos quality information. See 'Details' for a description of the necessary data column names.
units	Units for movement and location error models. One of "meter" ("metre") or "kilometer" ("kilometre"). If the data are projected, it will automatically use the units of the locations and ignore this argument.

Details

To use this function the data set must contain the following columns with exact names: (1) "type", indicate the type of location, (2) "quality" which indicates the Argos quality of the location, (3) The Argos KF diagnostics: "error_semi_major_axis", "error_semi_minor_axis", and "error_ellipse_orientation". If there are no Argos KF locations, the associated columns need not be present. Values of type are 'FastGPS', 'Argos', or 'known'. For 'FastGPS' an error radius of 100m is assumed. For 'known' an error radius of 20m is assumed. Values of quality must be '3','2','1','0','A',or 'B' for type=='Argos' locations and '4'-'10' for type=='FastGPS'. For other types it is ignored.

Author(s)

Devin S. Johnson

dsjohnson/crawlUtils documentation built on Sept. 13, 2024, 1:34 p.m.