summarize_detections: Summarize detections by animal, location, or both

In jsta/glatos: A package for the Great Lakes Acoustic Telemetry Observation System

Summarize detections by animal, location, or both

Description

Calculate number of fish detected, number of detections, first and last detection timestamps, and/or mean location of receivers or groups, depending on specific type of summary requested.

Usage

summarize_detections(det, location_col = "glatos_array",
  receiver_locs = NULL, animals = NULL, summ_type = "animal")

Arguments

det	A glatos_detections object (e.g., produced by read_glatos_detections). OR a data frame containing detection data with four columns described below and one column containing a location grouping variable, whose name is specified by location_col (see below). The following four columns must appear in det, except deploy_lat and deploy_lon are not needed if receiver_locs is specified: animal_id Individual animal identifier; character. detection_timestamp_utc Timestamps for the detections (MUST be of class 'POSIXct'). deploy_lat Latitude of receiver deployment in decimal degrees, NAD83. deploy_long Longitude of receiver deployment in decimal degrees, NAD83.
location_col	A character string indicating the column name in det (and receiver_locs if specified) that will be used as the location grouping variable (e.g. "glatos_array"), in quotes.
receiver_locs	An optional data frame containing receiver data with the two columns ('deploy_lat', 'deploy_long') described below and one column containing a location grouping variable, whose name is specified by location_col (see above). The following two columns must appear in receiver_locs: deploy_lat Latitude of receiver deployment in decimal degrees, NAD83. deploy_long Longitude of receiver deployment in decimal degrees, NAD83.
animals	A character vector with values of 'animal_id' that will be included in summary. This allows (1) animals not detected (i.e., not present in det) to be included in the summary and/or (2) unwanted animals in det to be excluded from the summary.
summ_type	A character string indicating the primary focus of the summary. Possible values are "animal" (default), "location", and "both". See Details below.

Details

Input argument summ_type determines which of three possible summaries is conducted. If summ_type = "animal" (default), the output summary includes the following for each unique value of animal_id: number of unique locations (defined by unique values of location_col), total number of detections across all locations, timestamp of first and last detection across all locations, and a space-delimited string showing all locations where each animal was detected. If summ_type = "location", the output summary includes the following for each unique value of location_col: number of animals (defined by unique values of animal_id), total number of detections across all animals, timestamp of first and last detection across all animals, mean latitude and longitude of each location group, and a space-delimited string of each unique animal that was detected. If summ_type = "both", the output summary includes the following for each unique combination of location_col and animal_id: total number of detections, timestamp of first and last detection, and mean latitude and longitude.

If receiver_locs = NULL (default), then mean latitude and longitude of each location (mean_lat and mean_lon in output data frame) will be calculated from data in det. Therefore, mean locations in the output summary may not represent the mean among all receiver stations in a particular group if detections did not occur on all receivers in each group. However, when actual receiver locations are specified by receiver_locs, then mean_lat and mean_lon will be calculated from receiver_locs. Also, if mean location is not desired or suitable, then receiver_locs can be used to pass a single user-specified deploy_lat and deploy_long for each unique value of location_col, whose values would then represent mean_lat and mean_lon in the output summary.

Value

If summ_type = "animal" (default): A data frame, data.table, or tibble containing six columns:

• animal_id: described above.

• num_locs: number of locations.

• num_dets: number of detections.

• first_det: first detection timestamp.

• last_det: last detections timestamp.

• locations: character string with locations detected, separated by spaces.

If summ_type = "location" (default): A data frame, data.table, or tibble containing seven columns:

• LOCATION_COL: defined by location_col.

• num_fish: number of unique animals detected.

• num_dets: number of detections.

• first_det: first detection timestamp.

• last_det: last detections timestamp.

• mean_lat: mean latitude of receivers at this location.

• mean_lon: mean longitude of receivers at this location.

• animals: character string with animal_ids detected, separated by spaces.

If summ_type = "both" (default): A data frame, data.table, or tibble containing seven columns:

• animal_id: described above.

• LOCATION_COL: defined by location_col.

• num_dets: number of detections.

• first_det: first detection timestamp.

• last_det: last detections timestamp.

• mean_lat: mean latitude of receivers at this location.

• mean_lon: mean longitude of receivers at this location.

Author(s)

T. R. Binder and C. Holbrook

Examples

#get path to example detection file
 det_file <- system.file("extdata", "walleye_detections.csv",
   package = "glatos")
 det <- read_glatos_detections(det_file)
 
 #Basic summaries
 
 # by animal
 ds <- summarize_detections(det)
 
 # by location 
 ds <- summarize_detections(det, summ_type = "location")
 
 # by animal and location
 ds <- summarize_detections(det, summ_type = "both")
 
 
 #Include locations where no animals detected
 
 #get example receiver data
 rec_file <- system.file("extdata", "sample_receivers.csv",
   package = "glatos")
 rec <- read_glatos_receivers(rec_file) 
 
 ds <- summarize_detections(det, receiver_locs = rec, summ_type = "location")
 
 
 #Include animals that were not detected
 #get example animal data from walleye workbook
 wb_file <- system.file("extdata", "walleye_workbook.xlsm",
   package = "glatos")
 wb <- read_glatos_workbook(wb_file) 
 
 ds <- summarize_detections(det, animals = wb$animals, summ_type = "animal")
 
 #Include by animals and locations that were not detected
 ds <- summarize_detections(det, receiver_locs = rec, animals = wb$animals, 
   summ_type = "both")

jsta/glatos documentation built on July 11, 2022, 7:01 a.m.