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telemetR (version 1.0)

Filter and Analyze Generalised Telemetry Data from Organisms

Description

Analyze telemetry datasets generalized to allow any technology. The filtering steps check for false positives caused by reflected transmissions from surfaces and false pings from other noise generating equipment. The filters are based on JSATS filtering algorithms found in package 'filteRjsats' but have been generalized to allow the user to define many of the filtering variables. Additionally, this package contains scripts used to help identify an optimal maximum blanking period as defined in Capello et al (2015) . The functions were written according to their manuscript description, but have not been reviewed by the authors for accuracy. It is included here as is, without warranty.

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Version

Install

install.packages('telemetR')

Monthly Downloads

193

Version

1.0

License

GPL (>= 3)

Maintainer

Taylor Spaulding

Last Published

April 13th, 2023

Functions in telemetR (1.0)

format_detects

Format Detections for filteRjsats
ex_rSSR

Example Renormalized Sum of Squares
setup_blanking

Setup a Detection Dataframe for Identifying the Optimal Blanking Period
residence_plot

Residency Survival Plot
opt_mbp

Idenitfy the Optimum MBP based on Convergence Threshold
format_receivers

Format for Receiver data for filteRjsats
reftags

Example reference tags
filter_4h

Basic Four Hit Filter for Detections
renorm_SSR

Calculate the Renormalized Sum of Squared Residuals
rSSR_plot

Plot the rSSR Curve and Convergence Thresholds and Optimum MBP
prefilter

Apply the "prefilter" to a Detection Dataframe
format_org

Format Organism Data for add_org()
filtered_detections

Example Completely Filtered Detection Data
receivers

Receiver Data
time_test

Example Time Tests for Multi-blanked Detection Data
fish

Fish Data
raw_detections

Unfiltered detection data
duration_compare

Compare the duration of Potential Blanking Periods
blanking_event

Create Potential Blanking Periods for Identifying Optimal Blanking Period
dat_filt1

Prefiltered detection data
Set_GVs

Add in Global Variables
build_residence

Build Continuous Residence Events
add_org

Add Organism Data to a Detection Dataframe
conv_thresholds

Calculate Convergence Thresholds for the rSSR curve
blanked_detects

Example Multi-blanked Detection Data
conv_thresh

Example 95 Percent Convergence Threshold
dat_orgfilt

Filtered detection data with Organism Data
filter_2h

Basic Two Hit Filter for Detections
ex_opt

Example Optimum Maximum Blanking Period