nameTracks: Identify potential fine-scale data for analysis
In YuriNiella/RSP: Refined Shortest Paths
nameTracks R Documentation
Identify potential fine-scale data for analysis
Description
Identifies fine-scale data among total detection dataset to be used for RSP estimation. Tracks are
then named based on the interval between consecutive detection dates.
Usage
nameTracks(detections, max.time = 24, recaptures, tz)
Arguments
detections
Detections data frame
max.time
Temporal lag in hours to be considered for the fine-scale tracking. Default is to consider 1-day intervals.
recaptures
If the recapture locations will be included in the analysis.
tz
Time zone of the study area.
Value
A dataframe with identified and named individual tracks for RSP estimation.
YuriNiella/RSP documentation built on Oct. 10, 2024, 6:23 a.m.
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| nameTracks | R Documentation |
Identify potential fine-scale data for analysis
Description
Identifies fine-scale data among total detection dataset to be used for RSP estimation. Tracks are then named based on the interval between consecutive detection dates.
Usage
nameTracks(detections, max.time = 24, recaptures, tz)
Arguments
detections |
Detections data frame |
max.time |
Temporal lag in hours to be considered for the fine-scale tracking. Default is to consider 1-day intervals. |
recaptures |
If the recapture locations will be included in the analysis. |
tz |
Time zone of the study area. |
Value
A dataframe with identified and named individual tracks for RSP estimation.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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