Materials to reproduce the blog post of http://martibosch.github.io/managing-analysis-workflows-geodata-make/
Prerequisites: a Python distribution with conda
Instructions to reproduce (commands executed from the root directory of this repository):
-
Create the conda environment by executing
make create_environment
-
Activate the environment by executing
conda activate swiss-urbanization-post
-
Update the
src/data/download_clc.py
script so that it downloads the CORINE Land Cover datasets for the years 2000, 2006 and 2012 (the datasets are open but require registration) to thedata/raw/clc
directory, or contact me in order to get a temporary access keys to a S3 service that will provide you such files without need to change the code. -
Generate the figure to
reports/figures/swiss-urbanization.png
by executingmake figure
See the overview notebook for a more visual description of the workflow.
Project based on the cookiecutter data science project template. #cookiecutterdatascience