iphc: IPHC data cleaned for use for non-halibut index...

In pbs-assess/gfdata: Data Extraction for DFO PBS Groundfish Stocks

IPHC data cleaned for use for non-halibut index standardization at PBS

Description

These data are best used for spatiotemporal analyses. Also see the gfiphc package which implements a design-based index standardization. Data from 1998 onwards come from the IPHC website. Data from 1996 and 1997 come from local spreadsheets as described in gfiphc.

Usage

iphc_sets

iphc_catch

Format

Once the 2 data frames are joined, a data frame with these columns:

year

Year

station

Station ID

station_key

A unique station key from IPHC; occasionally there are multiple sets at the same station but this column is always unique. It's also unique across years.

longitude

Longitude (mid point)

latitude

Latitude (mid point)

species_science_name

Scientific name

hooks_observed

Number of hooks observed for non-halibut species

number_observed

Number of hooks with the species of interest

pbs_standard_grid

Logical: standard grid stations through time as defined in gfiphc

inside_wcvi

Logical: inside Vancouver Island waters (2018 only) vs. anywhere else; you may want to exclude these from spatiotemporal modelling

sample_type

Sample type (first 20 hooks vs. all hooks)

soak_time_min

Soak time

temp_c

Temperature in degrees C

depth_m

Depth in m

species_common_name

Species common name

An object of class tbl_df (inherits from tbl, data.frame) with 290103 rows and 6 columns.

Details

One likely wants to join the data frames. E.g.

iphc <- dplyr::inner_join(iphc_catch, iphc_sets)

pbs-assess/gfdata documentation built on Feb. 16, 2025, 7:47 a.m.