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Spatiotemporal patterns of urbanization in Switzerland
Materials to reproduce the article:
Bosch M., Jaligot R., Chenal J. 2020. "Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis". Landscape ecology. 10.1007/s10980-020-00985-y
Instructions to reproduce
Option 1: via MyBinder
Click the badge below, which will use MyBinder to launch a server with a Jupyter executable environment:
Option 2: locally
- Clone the repository and change directory to the repository's root:
git clone https://github.com/martibosch/swiss-urbanization
cd swiss-urbanization
- Create the environment (this requires conda) and activate it:
conda env create --name swiss-urbanization -f environment.yml
# the above command creates a conda environment named `swiss-urbanization`
conda activate swiss-urbanization
- Register the IPython kernel of the
swiss-urbanization
environment
python -m ipykernel install --user --name swiss-urbanization --display-name "Python (swiss-urbanization)"
- Now you might use
make
to generate all the figures in the directoryreports/figures
as in:
make figures
or instead launch Jupyter as in:
jupyter-notebook
and generate the figures interactively by executing the notebooks of the notebooks
directory.
Important note
The landscape_plots.pdf
figure cannot be reproduced with the current environment (see the file environment.yml
) because of the incompatibility between the basemap installed from conda-forge
and pyproj 2.0.
<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>