Beni Confiscati

Exploratory data analysis and visualization of a small geospatial dataset.

Explore the interactive map.

Built with:

• Geopandas
• Shapely
• PyProj
• Cartopy
• Folium

Data

Source: Regione Toscana – Beni confiscati alla criminalità organizzata (January 2018).

The dataset is released under the CC BY-SA 4.0 license.

Run the notebook with Binder

Binder builds a docker image from a git repository + commit, so you can run the notebook beni-confiscati.ipynb in the cloud, without installing anything on your machine.

Installation

If you want to run the notebook locally, you need to create a conda environment. You can obtain the conda package manager by installing a Python distribution like Miniconda or Anaconda.

Create and activate a new conda environment:

conda create --name beni-confiscati python=3.6 --yes
source activate beni-confiscati

Install all the dependencies (this might take a while, go grab a cup of coffee):

conda install -c conda-forge jupyter numpy pandas geopandas pyproj shapely cartopy folium -y

If you run into issues when importing fiona, try downgrading it to 1.7.9:

conda install -c conda-forge fiona=1.7.9

When all dependencies have been installed, run the notebook:

jupyter notebook

Note: I decided to included the dataset in the repository, so you don't have to go find it by yourself. After all it is just ~200KB.

Other

You can freeze your environment with:

conda env export > environment.yml

To remove this conda environment, run:

conda env remove -n beni-confiscati