residency | R Documentation |
The residency
analysis runs the same initial checks as
explore
, but, similarly to migration
, explores
particular points of the animal behaviour. If you want to know where your animals
were in each day of the study, how many animals were in each section each day,
and other residency-focused variables, this is the analysis you are looking
for!
residency(
tz = NULL,
section.order = NULL,
datapack = NULL,
max.interval = 60,
minimum.detections,
min.total.detections = 2,
min.per.event = 1,
start.time = NULL,
stop.time = NULL,
speed.method = c("last to first", "last to last"),
speed.warning = NULL,
speed.error = NULL,
jump.warning = 2,
jump.error = 3,
inactive.warning = NULL,
inactive.error = NULL,
exclude.tags = NULL,
override = NULL,
report = FALSE,
auto.open = TRUE,
discard.orphans = FALSE,
discard.first = NULL,
save.detections = FALSE,
section.warning = 1,
section.error = 1,
section.minimum,
timestep = c("days", "hours"),
replicates = NULL,
GUI = c("needed", "always", "never"),
save.tables.locally = FALSE,
print.releases = TRUE,
detections.y.axis = c("auto", "stations", "arrays")
)
tz |
The time zone of the study area. Must match one of the values
present in |
section.order |
A vector containing the order by which sections should be aligned in the results. |
datapack |
A data bundle pre-compiled through the function |
max.interval |
The number of minutes that must pass between detections for a new event to be created. Defaults to 60. |
minimum.detections |
DEPRECATED. Please use the arguments min.total.detections and min.per.event instead. |
min.total.detections |
Minimum number of times a tag must have been detected during the study period for the detections to be considered true and not just random noise. Defaults to 2. |
min.per.event |
Minimum number of detections an event must have to be deemed valid. For analyses with both array and section events, a vector of two values can be provided. If only one value is provided, the same threshold applies for both types of events. Defaults to 1. |
start.time |
Detection data prior to the timestamp set in
|
stop.time |
Detection data posterior to the timestamp set in
|
speed.method |
Can take two forms: 'last to first' or 'last to last'. If 'last to first' (default), the last detection on the previous array is matched to the first detection on the target array to perform the calculations. If 'last to last', the last detection on ´the previous array is matched to the last detection on the target array to perform the calculations. |
speed.warning |
If a tag moves at a speed equal or greater than
|
speed.error |
If a tag moves at a speed equal or greater than
|
jump.warning |
If a tag crosses a number of arrays equal or greater
than |
jump.error |
If a tag crosses a number of arrays equal or greater than
|
inactive.warning |
If a tag spends a number of days equal or greater
than |
inactive.error |
If a tag spends a number of days equal or greater than
|
exclude.tags |
A vector of tags that should be excluded from the detection data before any analyses are performed. Intended to be used if stray tags from a different code space but with the same signal as a target tag are detected in the study area. |
override |
A vector of signals for which the user intends to manually define which movement events are valid and invalid. |
report |
Logical. Should an HTML report be created at the end of the analysis? NOTE: Setting report to TRUE will generate an HTML file in the current directory. Additionally, if auto.open = TRUE (default), the web browser will automatically be launched to open the report once the function terminates. |
auto.open |
Logical: Should the report be automatically opened once the analysis is over? Defaults to TRUE. NOTE: If report = TRUE and auto.open = TRUE, the web browser will automatically be launched to open the report once the function terminates. |
discard.orphans |
Logical: Should actel automatically discard detections that do not fall within receiver deployment periods, or that were recorded before the respective animals were released? |
discard.first |
A threshold amount of time (in hours) that must pass after release for the respective detections to be valid. Set to 0 to discard only the release-to-first-detection calculations. |
save.detections |
Logical: Should the processed detections be saved for future runs? |
section.warning |
If a tag has section movement events with less or equal to
|
section.error |
If a tag has section movement events with less or equal to
|
section.minimum |
DEPRECATED: Please use section.warning and section.error instead. |
timestep |
The resolution desired for the residency calculations. One of "days" (default) or "hours". |
replicates |
A list containing, for each array to which intra-array efficiency is to be calculated: The standard names of the stations to be used as a replicate. See the vignettes for more details. |
GUI |
One of "needed", "always" or "never". If "needed", a new window is opened to inspect the movements only when the movements table is too big to be displayed in R's console. If "always", a graphical interface is always created when the possibility to invalidate events emerges. If "never", a graphical interface is never invoked. In this case, if the table to be displayed does not fit in R's console, a temporary file will be saved and the user will be prompted to open that file and examine it. Defaults to "needed". |
save.tables.locally |
Logical: If a table must be temporarily stored into a file for user inspection, should it be saved in the current working directory, or in R's temporary folder? |
print.releases |
Logical: Should the release sites be printed in the study area diagrams? |
detections.y.axis |
The type of y axis desired for the individual detection plots. While the argument defaults to "auto", it can be hard-set to one of "stations" or "arrays". |
A list containing:
detections
: A list containing all detections for each target tag;
valid.detections
: A list containing the valid detections for each target tag;
spatial
: A list containing the spatial information used during the analysis;
deployments
: A data frame containing the deployments of each receiver;
arrays
: A list containing the array details used during the analysis;
movements
: A list containing all movement events for each target tag;
valid.movements
: A list containing the valid movement events for each target tag;
section.movements
: A list containing the valid section shifts for each target tag;
status.df
: A data frame containing summary information for each tag, including the
following columns:
Times.entered.[section]: Total number of times the tag entered a given section
Average.entry.[section]: Average entry time at a given section
Average.time.[section]: Average time the tag spent in a given section during each visit
Average.departure.[section]: Average departure time from a given section
Total.time.[section]: Total time spent in a given section
Very.last.array: Last array where the tag was detected
Very.last.time: Time of the last valid detection
Status: Fate assigned to the animal
Valid.detections: Number of valid detections
Invalid.detections: Number of invalid detections
Valid.events: Number of valid events
Invalid.events: Number of invalid events
P.type: Type of processing:
'Skipped' if no data was found for the tag,
'Auto' if no user interaction was required,
'Manual' if user interaction was suggested and the user made changes to the validity of the events,
'Overridden' if the user listed the tag in the
override
argument.
Comments: Comments left by the user during the analysis
last.seen
: A data frame containing the number of tags last seen in
each study area section;
array.times
: A data frame containing ALL the entry times of each tag
in each array;
section.times
: A data frame containing all the entry times of each
tag in each section;
residency.list
: A list containing the places of residency between first and last
valid detection for each tag;
time.ratios
: A list containing the daily location per section (both in seconds spent
and in percentage of day) for each tag;
time.positions
: A data frame showing the location where each
tag spent the most time per day;
global.ratios
: A list containing summary tables showing the number of active tag
(and respective percentages) present at each location per day;
efficiency
: A list containing the results of the inter-array Multi-way efficiency
calculations (see vignettes for more details);
intra.array.CJS
: A list containing the results of the intra-array CJS calculations;
rsp.info
: A list containing appendix information for the RSP package;
dist.mat
: The distance matrix used in the analysis (if a valid
distance matrix was supplied)
explore
, migration
# Start by moving to a temporary directory
old.wd <- getwd()
setwd(tempdir())
# Deploy the example workspace
exampleWorkspace("residency_example")
# Move your R session into the example workspace
setwd("residency_example")
# run the residency analysis. Ensure the tz argument
# matches the time zone of the study area and that the
# sections match your array names. The line below works
# for the example data.
results <- residency(tz = "Europe/Copenhagen")
# to obtain an HTML report, run the analysis with report = TRUE
# return to original working directory
setwd(old.wd)
rm(old.wd)
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