Geospatial-Analysis

What's here?

This respository consists of the notebooks for following spatial analyses performed using Python. The main packages used are geopandas, Matplotlib and NetworkX.

Topic	Data Source
Geoplotting emissions intensity of electricity generation in Europe	Our World in Data 2021
Exploring the demography and power sector of South Asia	World Bank Open Data 2021, Our World in Data 2021
Network and interconnections in Python maps	WorldPop 2022
Solving the Travelling Salesman Problem for Germany using NetworkX in Python
Visualizing trade flow in Python maps — Part I: Bi-directional trade flow maps

• script consists of the Python notebooks for the above analyses.
• data consists of the data used in the notebooks.
• output contains the figures produced by the notebook, which are used in the analyses.

Contributors

Himalaya Bir Shrestha

Suggested approach to install geopandas in Windows

Geopandas installation the easy way for windows

Installation

• Download and clone this repository.

• Create a virtual environment using:

conda env create -n geospatial-environment --file geospatial-environment.yml

• Once the environment is created, it can be activates using: conda activate geospatial

• To create new kernel for jupyter notebook:

python -m ipykernel install --user --name geospatial-environment --display-name "geospatial-environment"

Uninstallation

If the environment is not required any more, it can be removed using: conda env remove -n geospatial

Package requirements

Check geospatial-environment.yml file