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This repository contains the codes and figures used in the paper "Illuminating Dark Fishing Fleets in North Korea", published in Science Advances on July 22, 2020.

Jupyter Notebook 99.27% Python 0.73%

paper-dark-fishing-fleets-in-north-korea's Introduction

paper-dark-fishing-fleets-in-north-korea

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.

Readme

  • Description of the paper, repository, and data sets used in the paper

Publication of the paper

Figures

  • 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

Supplementary-sections

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

Libraries required

  • All python packages used in the study are available in requirements.txt.
  • You may want to use pip install -r requirements.txt or conda 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 gdal and basemap packages, 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.

paper-dark-fishing-fleets-in-north-korea's People

Contributors

bitsofbits avatar davidkroodsma avatar jaeyoonpark avatar

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