Angler interview data for an ice fishing creel survey at Lake McConaughy, Nebraska. Contains 72 interviews across 12 sampling days in January-February 2024. Anglers fish from both open-air setups and enclosed dark-house shelters, targeting walleye and yellow perch. Dates match example_ice_sampling_frame.
Format
A data frame with 72 rows and 11 columns:
- date
Interview date (Date class), matching example_ice_sampling_frame
- n_counted
Integer total number of angler parties counted at the access point during the sampling period
- n_interviewed
Integer number of parties actually interviewed; always
<= n_counted- hours_on_ice
Numeric hours the angler party was physically on the ice (total time-on-ice effort)
- active_fishing_hours
Numeric hours spent actively fishing, excluding travel, setup, and breaks; always
<= hours_on_ice- walleye_catch
Integer total walleye caught (kept + released)
- perch_catch
Integer total yellow perch caught (kept + released)
- walleye_kept
Integer walleye harvested; always
<= walleye_catch- perch_kept
Integer yellow perch harvested; always
<= perch_catch- trip_status
Character trip completion status:
"complete"or"incomplete"- shelter_mode
Character shelter type used by the angler party:
"open"(no shelter) or"dark_house"(enclosed shelter). Used to stratify effort estimates by shelter type.
See also
example_ice_sampling_frame for the matching sampling frame,
creel_design(), add_interviews(), estimate_effort()
Other "Example Datasets":
creel_counts_toy,
creel_interviews_toy,
example_aerial_counts,
example_aerial_glmm_counts,
example_aerial_interviews,
example_ages,
example_calendar,
example_camera_counts,
example_camera_interviews,
example_camera_timestamps,
example_catch,
example_counts,
example_ice_sampling_frame,
example_interviews,
example_lengths,
example_sections_calendar,
example_sections_counts,
example_sections_interviews
Examples
data(example_ice_sampling_frame)
data(example_ice_interviews)
# Build an ice fishing design with scalar period sampling probability
design <- creel_design(
example_ice_sampling_frame,
date = date,
strata = day_type,
survey_type = "ice",
effort_type = "time_on_ice",
p_period = 0.5
)
design <- suppressMessages(add_interviews(
design,
example_ice_interviews,
catch = walleye_catch,
effort = hours_on_ice,
harvest = walleye_kept,
trip_status = trip_status,
n_counted = n_counted,
n_interviewed = n_interviewed
))
#> Warning: ! No `n_anglers` provided — assuming 1 angler per interview.
#> ℹ Pass `n_anglers = <column>` to use actual party sizes for angler-hour
#> normalization.
#> ℹ If the interviews really are one angler each, pass `n_anglers = 1` to state
#> that and silence this warning.
#> Warning: 23 interviews have zero catch.
#> ℹ Zero catch may be valid (skunked) or indicate missing data.
suppressWarnings(estimate_effort(design))
#>
#> ── Creel Survey Estimates ──────────────────────────────────────────────────────
#> Method: Total
#> Variance: Taylor linearization
#> Confidence level: 95%
#> Effort target: sampled_days
#> Unit: party-hours
#>
#> # A tibble: 1 × 6
#> estimate se ci_lower ci_upper n total_effort_hr_on_ice
#> <dbl> <dbl> <dbl> <dbl> <int> <dbl>
#> 1 2406. 74.6 2260. 2552. 72 2406.