I believe there is a clear and present need across all science fields
to make workflows more efficient, improve data management, and make our
results accessible and digestible to general audiences. The first step
toward this is to embrace analysis-to-product workflows in programs like
R, and the second step is to share! Please feel free to check out my
GitHub for code, make additions/edits, or let me know if you have
comments. That’s how we make the best available science!
Communications
AFSC RACE Groundfish and Shellfish Survey Public
Data.
- This dataset includes zero-filled (presence and absence)
observations and catch-per-unit-effort (CPUE) estimates for all
identified species at for index stations by the Resource Assessment and
Conservation Engineering Division (RACE) Groundfish Assessment Program
(GAP) of the Alaska Fisheries Science Center (AFSC). There are no legal
restrictions on access to the data. The data from this dataset are
shared on the Fisheries
One Stop Stop (FOSS) platform. These scripts can be found on GitHub.
For more information about codes used in the tables, please refer to the
survey
code books.
GAP Survey Temperature Maps.
- These scripts (GitHub
Repository) create the daily temperature and anomaly plots as NOAA
Fisheries’ Alaska Fisheries Science Center conducts fisheries
independent surveys in Alaska. The scripts pull temperature content from
google drive and then push the maps to google drive and our internal
communications FTP server for the communications team to post on our website.
R Markdown Reports
Alaska Fisheries Science Center Survey Data
Reports.
- Reproducibly automate groundfish data reports for all surveys
conducted by the AFSC in R Markdown. View the GitHub
Repository for this code.
Northern Bering Sea Groundfish and Crab Trawl Survey
Community Highlights.
- Reproducibly automate outreach reports for the Bering strait
communities with results from the northern Bering sea survey conducted
by the AFSC in R Markdown. View the GitHub
Repository for this code.
Fisheries Economics of the US Report.
- Manage the redevelopment and production of the Fisheries
Economics of the US report. This is a national-level report that
provides ten years of economic information, impacts, and analyses
related to U.S. commercial and recreational fishing activities and
fishing-related industries. I am working to contemporize this iconic
report by writing reproducible code using R and RMarkdown, which
produces several report outputs and JavaScript files for the interactive
FEUS online tool. All of this work has gone into improving this
nationally regarded report for the many who reference it and making the
process of producing it more streamlined, reproducible, and
efficient.
R Packages
{sdmgamindex}: R package for calculating survey indices by
age with generalized additive models.
- In development:
R package for calculating survey indices by age from DATRAS exchange
data using Generalized Additive Models.
{FishEconProdOutput}: Measuring Output for U.S. Commercial
Fisheries From Theory to Practice.
- This package
provides guidelines on fishery productivity measurement at the
individual fishery and aggregate sector levels. Attention is given to
the constructions of output and total factor productivity based on
available data and a bottom-up approach. Given that there is no
nation-wide standard cost survey, we recommend starting with measuring
TFP at the fishery level based on a translog gross output production
possibility frontier using index number techniques. Special attention is
given to measuring quality-adjusted physical capital inputs in the
bottom-up approach.
R Shiny Applications and Websites
AFSC RACE GAP Survey App.
- This GitHub
Repository uses a google spreadsheet listing content to build a
consistent, reproducible, and reliable local resource website
for our boats while boats are out to sea.
NOAA Fisheries Commerical, Recreational, and Aquaculture
Fisheries Economic Impact R Shiny Model.
- I/O models are used to assess economic activity such as jobs,
income, and sales generated by a given industry sector. This is
currently used in industry statistics (such as in FEUS) and management
applications (to determine how a change would affect the economy, such
as in planning team meetings). The R Package GitHub
Repository feeds the R Shiny
App.
NOAA Fisheries Marine Mammal Acoustic
Thresholds.
- NMFS has provided this guidence
and R
Shiny Web Calculator as an optional tool to provide estimated effect
distances (i.e., isopleths) where PTS onset thresholds may be exceeded.
Results provided by this calculator do not represent the entirety of the
comprehensive effects analysis, but rather serve as one tool to help
evaluate the effects of a proposed action on marine mammal hearing and
make findings required by NOAA’s various statutes. Input values are the
responsibility of the individual user. Code for this tool is available
in this (GitHub
Repository).
Research
Model-Based Abundance and Distribution Estimates using
VAST.
- Help provide mostly-VAST model-based-estimates
of abundance, distribution, or age composition from AFSC Groundfish
Assessment Program (GAP) bottom trawl survey data to stock assessment
authors.
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)
Modeling Environmentally Driven Distribution Shifts for Two
Demersal, Migratory Species.
- Habitat suitability models (HSMs) of summer flounder
(Paralichthys dentatus) and black sea bass (Centropristis
striata) were created using the fishery-independent Northeast
Fisheries Science Center (NEFSC) bottom trawl survey data in generalized
additive models and cumulative distribution functions. These analyses
were used to probabilistically link where different length classes of
these fish would likely be across different environmental variables in
spring and fall. These different environmental variables (surface and
bottom temperature and salinity, depth, and bottom type) have similar
influences on life history of these two demersal, migratory, and
commercially important species. Then, the HSMs were used to illustrate
how the population’s distribution changed over time by hindcasting over
regional ocean modeling systems (ROMS). The ROMS used in this analysis
was a 1 Day Averaged ROMS for the Northeast US Coastline from 1958-2020.
Learn more on our lab
website.
© Copyright 2024 Emily Markowitz