https://github.com/jackdbd/beni-confiscati
Exploratory data analysis and visualization of a small geospatial dataset.
https://github.com/jackdbd/beni-confiscati
cartopy folium geopandas shapely tuscany
Last synced: 3 months ago
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Exploratory data analysis and visualization of a small geospatial dataset.
- Host: GitHub
- URL: https://github.com/jackdbd/beni-confiscati
- Owner: jackdbd
- License: mit
- Created: 2018-07-10T08:54:59.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2018-08-21T18:25:21.000Z (almost 7 years ago)
- Last Synced: 2025-01-17T21:29:29.215Z (5 months ago)
- Topics: cartopy, folium, geopandas, shapely, tuscany
- Language: Jupyter Notebook
- Homepage: https://jackdbd.github.io/beni-confiscati/
- Size: 1.13 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Beni Confiscati
[](https://mybinder.org/v2/gh/jackdbd/beni-confiscati/master)
Exploratory data analysis and visualization of a small geospatial dataset.
Explore the [interactive map](https://jackdbd.github.io/beni-confiscati/).
Built with:
- Geopandas
- Shapely
- PyProj
- Cartopy
- Folium
## Data
Source: Regione Toscana – [Beni confiscati alla criminalità organizzata](http://dati.toscana.it/dataset/rt-beniconfiscati) (January 2018).
The dataset is released under the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) license.
## Run the notebook with Binder
[Binder](https://github.com/jupyterhub/binderhub) 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](https://conda.io/miniconda.html) or [Anaconda](https://repo.continuum.io/).
Create and activate a new conda environment:
```shell
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):
```shell
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`:
```shell
conda install -c conda-forge fiona=1.7.9
```
When all dependencies have been installed, run the notebook:
```shell
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:
```shell
conda env export > environment.yml
```
To remove this conda environment, run:
```shell
conda env remove -n beni-confiscati
```