https://github.com/martibosch/swiss-urbanization

Materials to reproduce the paper "Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis"
https://github.com/martibosch/swiss-urbanization

complexity fractal-analysis land-use-and-land-cover-change landscape-metrics spatial-pattern urban-growth-patterns urban-scaling urbanization

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Materials to reproduce the paper "Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis"

• Host: GitHub
• URL: https://github.com/martibosch/swiss-urbanization
• Owner: martibosch
• License: gpl-3.0
• Created: 2019-03-19T12:37:44.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-10-23T09:48:20.000Z (about 4 years ago)
• Last Synced: 2024-06-11T16:31:31.695Z (7 months ago)
• Topics: complexity, fractal-analysis, land-use-and-land-cover-change, landscape-metrics, spatial-pattern, urban-growth-patterns, urban-scaling, urbanization
• Language: Jupyter Notebook
• Homepage: https://doi.org/10.1007/s10980-020-00985-y
• Size: 6.87 MB
• Stars: 8
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
[![Build Status](https://travis-ci.org/martibosch/swiss-urbanization.svg?branch=master)](https://travis-ci.org/martibosch/swiss-urbanization)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/martibosch/swiss-urbanization/master?filepath=notebooks)

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](https://doi.org/10.1007/s10980-020-00985-y)

![Example figure](figure.png)

## Instructions to reproduce

### Option 1: via MyBinder

Click the badge below, which will use [MyBinder](https://mybinder.org/) to launch a server with a Jupyter executable environment:

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/martibosch/swiss-urbanization/master?filepath=notebooks)

### Option 2: locally

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

```bash

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

cd swiss-urbanization

```

2. Create the environment (this requires conda) and activate it:

```bash

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

```bash

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:

```bash

make figures

```

or instead launch Jupyter as in:

```bash

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](https://github.com/matplotlib/basemap/pull/454).

------------------------------

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