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

1. Clone the repository and change directory to the repository's root:

git clone https://github.com/martibosch/swiss-urbanization
cd swiss-urbanization

2. 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

3. Register the IPython kernel of the swiss-urbanization environment

python -m ipykernel install --user --name swiss-urbanization --display-name "Python (swiss-urbanization)"

4. Now you might use make to generate all the figures in the directory reports/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.

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Project based on the cookiecutter data science project template. #cookiecutterdatascience