Creates a data frame with a summary of descriptive information for each track
des_summary(tracks, cweight = "auto", cgaps = "", t_id = "id", des_df = "")
psyo
. Data frame with tracks.
character
. Column name of tracks
that contains the weight for the calculation.
character
. Column name of tracks
that marks gaps with TRUE
.
character or numeric. Column name in tracks
that identifies the separate tracks.
data frame
. Function results will be merge with this data frame.
Data frame
id of the track
begin time of the track
end time of the track
duration in minutes
tracker interval in seconds
number of coordinates without gaps
number of coordinates with gaps
number of all coordinates
coordinates with the same time
coordinates that are marked as gaps because they differ to much from the tracker interval
coordinates that are mark's as gaps because they have a higher speed than expected
total number of kilometres
average speed in kmh
average speed in kmh without coordinates with 0 speed
total time without speed higher than 0
total time with speed equal to 0
ratio between movement and no movement time
data with good data
data that is missing
data that is excluded by gaps
If you use 'psyosphere' for commercial use or research, please support us by include one off the following references:
MIT license: "psyosphere" by B. Ziepert, E. G. Ufkes & P. W. de Vries from https://CRAN.R-project.org/package=psyosphere
APA: Ziepert, B., Ufkes, E., & de Vries, P. W. (2018). psyosphere: Analyse GPS Data. Retrieved from https://CRAN.R-project.org/package=psyosphere
APA: Vries, P., Ziepert, B., & Ufkes, E. (2016). "De psychologie van bewegingen GPS-technologie voor de analyse van natuurlijk gedrag." Tijdschrift voor Human Factors 2: 11-15.
des_duplicates
, des_first
, des_last
, des_length
, des_max
, des_min
, des_mean
, des_sd
, des_sum
# NOT RUN {
data(psyo_rounds2)
tracks <- psyo_rounds2
descriptive <- des_summary(tracks)
# }
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