This repository contains the codes and figures used in the paper "Dark fishing fleets in North Korea," published in Science Advances on July 22, 2020. The methodologies and references can be found in the Supplementary materials of the paper The current repository is orgainzed as per the following structure.
- Description of the paper, repository, and data sets used in the paper
- Manuscript: https://advances.sciencemag.org/content/6/30/eabb1197
- Supplementary materials: https://advances.sciencemag.org/content/suppl/2020/07/20/6.30.eabb1197.DC1
- Supplementary materials with page numbers:
Park_abb1197_SM_with_page_numbers.pdf(in this directory)
- 1-figure1: Readme and code for Fig. 1A-1F
- 2-figure2: Readme and code for Fig. 2A-2D
- 3-figure3: Readme and code for Fig. 3
- 4-figure4: Readme and code for Fig. 4A-4D
- 5-pdfs_of_all_figures: Figs. 1-4 in PDF formats
The codes and figures are stored under directories as per Sections in Supplementary materials. Sections 6, 7, and 9 have no codes used.
- 1-boundary
- 2-daytime-optical-imagery
- 3-synthetic-aperture-radar
- 4-automatic-identification-system
- 5-nighttime-optical-imagery
- 8-number-of-vessels-and-days-of-fishing
- All python packages used in the study are available in
requirements.txt. - You may want to use
pip install -r requirements.txtorconda install --file requirements.txt. - You may need to execute the following command first
conda config --append channels conda-forge. - Set this environment on Jupyter Notebook, you may need
python -m ipykernel install --user --name=[YOUR_NAME_CHOICE]. - If a problem is encountered while installing
gdalandbasemappackages, please refer to the following article: conda-forge/basemap-feedstock#43 - Some codes are run on Python 2.7. We will migrate our codes / environment to Python 3.7 in the near future.