A dataset mimicking typical Digikam data (randomized rows)
Format
A data frame with 100 rows and 22 variables:
X
integer Row names (read by R when reading the csv file)
Station
character Camera
Species
character Species
DateTimeOriginal
character Date and time
Date
character Date
Time
character Time
delta.time.secs
integer Time elapsed since this species was last seen at this camera (seconds). Not relevant because rows were permuted.
delta.time.mins
double Time elapsed since this species was last seen at this camera (minutes). Not relevant because rows were permuted.
delta.time.hours
double Time elapsed since this species was last seen at this camera (hours). Not relevant because rows were permuted.
delta.time.days
double Time elapsed since this species was last seen at this camera (days). Not relevant because rows were permuted.
Directory
character Local directory where the original photo is
FileName
character Name of the original photo on the local storage
EXIF.Model
character Exif info
EXIF.Make
character Exif info
metadata_Species
character Species (other column)
metadata_Number
character Species count
metadata_Behaviour
character Tagged behaviors
metadata_Sex
character Tagged sex
n_images
integer Number of pictures associated to this event?
metadata_young_present
character Tagged youngs (Yes/No)
metadata_Numberofindividuals
logical Tagged number of individuals on the picture
HierarchicalSubject
character Summary column for all metadata_...