filter_observations: Filter observations

In inbo/camtrapdp: Read and Manipulate Camera Trap Data Packages

Filter observations

Description

Subsets observations in a Camera Trap Data Package object, retaining all rows that satisfy the conditions.

• Deployments are not filtered.

• Media are filtered on associated mediaID (for media-based observations) and eventID (for event-based observations). Filter on observationLevel == "media" to only retain directly linked media.

• Metadata (x$taxonomic) are updated to match the filtered observations.

Usage

filter_observations(x, ...)

Arguments

x	Camera Trap Data Package object, as returned by read_camtrapdp().
...	Filtering conditions, see dplyr::filter().

Value

x filtered.

See Also

Other filter functions: filter_deployments(), filter_media()

Examples

x <- example_dataset()

# Filtering returns x, so pipe with observations() to see the result
x %>%
  filter_observations(observationType == "animal") %>%
  observations()

# Filtering on observations also affects associated media, but not deployments
x %>%
  filter_observations(
    scientificName == "Vulpes vulpes",
    observationLevel == "event"
  ) %>%
  media()
x %>%
  filter_observations(
    scientificName == "Vulpes vulpes",
    observationLevel == "media"
  ) %>%
  media()

# Filtering on multiple conditions (combined with &)
x %>%
  filter_observations(
    deploymentID == "577b543a",
    scientificName %in% c("Martes foina", "Mustela putorius")
  ) %>%
  observations()

# Filtering on datetimes is easiest with lubridate
library(lubridate, warn.conflicts = FALSE)
x %>%
  filter_observations(
    eventStart >= lubridate::as_datetime("2020-06-19 22:00:00"),
    eventEnd <= lubridate::as_datetime("2020-06-19 22:10:00")
  ) %>%
  observations()

inbo/camtrapdp documentation built on Dec. 20, 2024, 3:31 a.m.