Getting Started

Here you’ll find various notebooks created by Sparkgeo. Navigate to the notebooks on the left. To view the source code visit the github repo

Installation

First clone this repository to your local environment.

To run the notebooks locally you need to install the environments for R , Quarto and Python.

Python

Conda or Mamba

To build the environment from a yml file using mamba (recommended)

mamba env create -f environment.yml

Usage

Once activating your conda environment:

conda activate wb-spk-env You should be able to run the .ipynb notebooks.

For the provided example applications, activate the virtual environment and then run one in this fashion:

python src/count_cars.py --detection-file data/processed/test_cars.gpkg --intersect-file data/processed/beitbridge_road_mask_v2.gpkg --output-json cars.geojson

Please see the Readme in the notebooks directory for their usage.

R Projects

To replicate the R environment, you can simply install.packages('renv') and open up the R Project file and run renv::restore() to restore the renv lockfile to load in all the appropriate libraries.

Usage

Restoring the renv above will allow you to run any .qmd notebooks.

Quarto

Quarto is an open-source scientific and technical publishing system.

Review Quarto’s Quickstart for installation instructions.

To regenerate outputs from Quarto:

quarto render hello.ipynb --to html

quarto render hello.ipynb --to docx