Prediction grid for AI survey — noaa_afsc_ai_pred_grid

Vector geometries ('shapefiles') that are commonly needed for mapping and spatial analysis in Alaska marine management areas, marine statistical areas, and fishery-independent survey regions in Alaska.

data('noaa_afsc_ai_pred_grid_depth')

Format

A data frame with 5302 observations on the following 7 variables.

srvy: Abbreviated survey names. Abbreviated survey names.
latitude_dd: Latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree).
longitude_dd: Longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree).
pass: Pass. Pass
depth_m: Depth (m). Bottom depth (meters).
stratum: Stratum. Statistical area for analyzing data. Strata are often designed using bathymetry and other geographic and habitat-related elements. The strata are unique to each survey region.
area_km2: Area (km2). Area in square kilometers.

Source

https://github.com/afsc-gap-products/gap_products and https://github.com/afsc-gap-products/akgfmaps

Details

The Resource Assessment and Conservation Engineering (RACE) Division Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC) conducts fisheries-independent bottom trawl surveys to assess the populations of demersal fish and crab stocks of Alaska.

Author

Alaska Fisheries Science Center, compiled by Emily Markowitz (Emily.Markowitz AT noaa.gov)

Examples

data(noaa_afsc_ai_pred_grid_depth)