The following document explains how to navigate across the different elements contained in the r project called main-fisheries-chile. The goal of this project is to assess the contribution of different domestic marine fisheries to landings, national economy, livelihoods and food security in Chile. The goal is organized in four scopes:
1) Fisheries context: aims to identify the top domestic marine fisheries in terms of volume and value in the country.
2) Fisheries employment and income: aims to identify the top domestic fisheries contributing to employment and income of people involved in fish-related activities (e.g. harvesting, processing, selling) in the country.
3) Domestic fish consumption: aims to identify the top domestic fisheries in the country that contribute to domestic seafood consumption, as well as the relative contribution of other sources of seafood (e.g. aquaculture, inland capture, foreign).
4) Critical analysis: aims to provide a discussion based on the research components described above and our own expertise. In addition, it looks to identify the caveats and assumptions of the implemented analytic approach as well as suggestions for future research projects to address these shortfalls.
Besides the document you are now reading, the project contains the following folders:
1) information: contains all the documents providing the information used to develop the project's scopes.
2) scripts: contains two folders, (i) cleaning_data which containes the scripts to generate each clean database starting from the raw databases, (ii) scopes, which containes three .Rmd documents, one for each empirical scope of the project. Each one of these documents explains step by step how information from clean databases and reports was combined to generate the assessment for each scope. There is also a .pdf document for each scope that provides a more readable version of the script and preliminary results.
3) clean_databases: contains all the databases generated by the authors by cleaning and reformatting raw databases. This databases may include estimates and values informed by reports. To review how a clean database was generated go to scripts/cleaning_data and look for the .Rmd named as the cleaned database you are interested on. The script should guide you through the information and manipulation steps to generate the clean database.
4) documents_from_oceana: contains all the documents generated by Oceana use to guide the work through the different scopes.