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interactive_plotting

Jupyter notebook showcasing how to generate interactive maps for key geospatial data formats using geopandas & Folium

Content

  • Interactive Mapping.ipynb contains the core code
  • Datasets directory contains sample input data for testing including:
    • Somaliland_adm1.gpkg
    • Somaliland_top_20_cities.gpkg
    • Somaliland_HF_WHO.gpkg
    • Ethiopia_interconnection.gpkg
    • Somaliland_GHI_10km.tif
  • maps directory contains sample output map
  • geospatial_env.yml dependencies info in yalm for setting up the environment

Setting up the environment & running the model

Install from GitHub

Download repository directly or clone it to you designated local directory using:

git clone https://github.com/akorkovelos/interactive_plotting.git

Requirements

The notebook has been developed in Python 3. We recommend installing Anaconda's free distribution as suited for your operating system.

Once installed, open anaconda prompt and move to your local "interactive_plotting" directory using:

> cd ..\interactive_plotting

In order to be able to run the notebook you should either install necessary packages or the environment. You can do this using the yml file as follows:

conda env create -f geospatial_env.yml

Once completed, you can now move to the directory and start a "jupyter notebook" session by simply typing:

..\interactive_plotting> jupyter notebook

Sample output

The sample output of this exersice is located in the maps directory at html. You may also find it online here.

Credits

Conceptualization & Development : Alexandros Korkovelos
Funding: The World Bank