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Resources from and for CCAMLR Scientists

The table of contents below separates resources in broad themes, but some topics or codes are cross-cutting and could be applied in different contexts.

Contributors

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Survey Design

Acoustic

• Past surveys
  • 2019Area48Survey: Matlab code to process the data from the International Synoptic Krill Survey in Area 48, 2019 (Publication).
• Current and future
  • Protocols: See annexes of WG-ASAM-2024 Meeting Report.
  • Survey design tool (In prep?)

Longline

• create_Stations: R function from the CCAMLRGIS package to create random locations inside a chosen area and within bathymetry constraints.

Trawl

• Protocols: See annexes of WG-ASAM-2024 Meeting Report.

Stock Assessments and tools

Krill

• Acoustics

  • SDWBA_TS: Matlab code to calculate the acoustic target strength of Antarctic krill using the stochastic distorted wave Born approximation scattering model.

  • CCAMLREchoviewR: R package to interface between Echoview and R using COM scripting.

  • asam_biomass_density_estimates: Biomass density estimates from the ASAM-2021 Metadata table.

  • Krill-Biomass-Estimates (private): repository for WG-ASAM to share the codes and resources used to calculate krill biomass estimates.

• Population Dynamics

  • Grym_Base_Case: R scripts of the base case implementation of the Grym assessment.

  • SOA_model_input_data (private): Spatial Overlap Analysis model inputs.

  • RecMaker: R script to simulate time series of krill proportional recruitment indices.

Toothfish

• Casal2 assessments

  • Casal2_resources (private): Casal2 training materials, example R codes and diagnostics.

  • Biological parameters estimation (In prep.)

  • Diagnostics (In prep.)

• Trend_Analysis: R scripts of the Trend Analysis.

• Tools

  • CCAMLRTOOLS: R package for loading official CCAMLR data and calculating the Tag Overlap Statistic.

Geographic Information Systems

• geospatial_operations: R scripts to generate spatial layers following the Geospatial Rules, and other resources such as coastlines.

• Geographical Data: Repository of georeferenced layers (e.g., CCAMLR Subareas and Divisions, bathymetry data).

• Shiny data viewers: Online GIS data viewers, including a public one.

• CCAMLRGIS R library to assist in the production of maps and of some spatial analyses. Examples:

  • Basemaps: R scripts to reproduce the maps shown in the Fishery Reports.

  • Data gridding: R tutorial to produce maps of gridded data.

  • Seabed area estimation: R script to estimate planimetric seabed area.

• Satellite data (In prep.)