Description Usage Arguments Value Examples
View source: R/ace_summarise_dens.R
Summarise animal density within an area of interest
1 2 3 4 5 6 7 8 9 | ace_summarise_dens(
x,
group_id,
agg_samp_per = TRUE,
samp_per_col,
species_col = common_name,
dens_col = density,
conflevel = 0.9
)
|
x |
a dataframe of deployments of interest with associated density estimates |
group_id |
column name (variable) to group by if x contains multiple areas; defaults to NULL (for when a single area is supplied) |
agg_samp_per |
logical; if FALSE, the default, density is summarised by sampling period; if TRUE, all sampling periods are aggregated |
samp_per_col |
column name holding sampling period id; defaults to 'samp_per'; not required if agg_samp_per is set to TRUE |
species_col |
column name holding species id; defaults to 'common_name' |
dens_col |
column name holding density values for individual camera deployments; defaults to 'density' |
conflevel |
level of confidence for the confidence interval; defaults to 0.9 (90 percent CI) |
A dataframe with estimated density by species, area, and sampling period, along with associated confidence interval.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | library(dplyr)
library(sf)
# Example aoi of four Wildlife Management Units (WMUs) in Alberta:
wmu_sample <- st_read(system.file("extdata/wmu_sample.shp", package = "abmi.camera.extras"))
# Obtain ABMI deployments in sample WMUs, keeping unit name
wmu_sample_deployments <- ace_get_cam(wmu_sample, group_id = WMUNIT_NAM)
wmu_sample_deployments_dens <- ace_join_dens(wmu_sample_deployments,
species = c("Moose", "Mule deer"),
nest = FALSE)
# Summarise density by WMU and sampling period
wmu_densities <- ace_summarise_dens(x = wmu_sample_deployments_dens,
group_id = WMUNIT_NAM,
agg_samp_per = FALSE,
conflevel = 0.9)
|
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