Geospatial Vector Data Processing in Python

This repository contains an introduction to geospatial vector data processing in Python. This is part of the course on Advanced Geospatial Analytics with Python taught since Fall 2023 at Clark University.

Requirements

You need to have Docker installed on your machine.

Instructions

Clone this repository to your local machine:

git clone [email protected]:HamedAlemo/vector-data-tutorial.git

Change your directory to the cloned repository:

cd vector-data-tutorial

To run the container, you have two options:

Option 1 - Pull Docker image from DockerHub (Recommended):

It's recommended to pull the Docker image from Dockerhub. Otherwise, if you prefer, you can build your own image using the instructions in the following section.

docker pull hamedalemo/vector-tutorial:1.2

docker run -it -p 8888:8888 -p 8787:8787 -v $(pwd):/home/gisuser/ hamedalemo/vector-tutorial:1.2

• Copy the Jupyter Lab url and paste it in your browser.
• Open vector_analysis.ipynb, dask_geopandas_intro.ipynb, and scalable_vector_analysis.ipynb and follow the instructions.

Option 2 - Build your Docker image:

docker build -t vector-tutorial:1.2 .

Run the container as following after switching to the repository's directory locally:

docker run -it -p 8888:8888 -p 8787:8787 -v $(pwd):/home/gisuser/ vector-tutorial:1.2

• Copy the Jupyter Lab url and paste it in your browser.
• Open vector_analysis.ipynb, dask_geopandas_intro.ipynb, and scalable_vector_analysis.ipynb and follow the instructions.