GEO-OPEN-HACK-2024 is a comprehensive and informative event designed for advanced geo-coders to explore various open tools and approaches for upscaling geospatial analysis on open High-Performance Computing (HPC) infrastructure.

The event is organised by the International Institute of Applied Systems Analysis (IIASA) in collaboration with Spatial Ecology. This hackathon delves into advanced cutting-edge open techniques, tools, and best practices for efficiently handling and processing vast amounts of geospatial data. Participants will gain hands-on experience in leveraging HPC resources and geo-tools for tasks such as geospatial data preprocessing, spatial modeling and analytics, and visualization.

Documentation can be viewed at https://pangeo-data.github.io/geo-open-hack-2024/.

• Introduction to Big Geospatial Data: Understanding the challenges and opportunities presented by large-scale geospatial datasets.
• High-Performance Computing Basics: Familiarization with HPC systems, queuing system, parallel processing, and optimization techniques
• Open Tools and Workflows: Techniques and tools for geospatial data processing and spatial analytics for applications like remote sensing, GIS, and environmental change monitoring.
• Modern Geo-analytics: Exploring emerging trends and technologies in the field, such as machine learning and cloud-based geospatial analytics and visualization.
• Parallel Computing: Harnessing the power of parallel and distributed computing for speed and efficiency for geospatial analysis.
• Performance Tuning: Strategies to optimize ML models and workflows for HPC environments.
• Case Studies: Real-world examples of successful big geospatial data projects on HPC systems.
• Scalability and Big Data Challenges: Addressing issues related to data volume, velocity, variety, and veracity in geospatial analysis.

To get a local copy of the geo-open-hack-2024 repository, you can clone it on your local computer and/or server:

git clone https://github.com/pangeo-data/geo-open-hack-2024.git

Jupyter notebooks are in the docs folder and can be run after installing Python and the required packages listed in the .binder/environment.yml file.

To install Python, we recommend to install conda or miniconda and then create a new conda environment using .binder/environment.yml:

conda env create -f environment.yml

Do not forget to switch to the geohack conda environment prior to executing any Jupyter notebooks or programs from the geo-open-hack-2024 repository.

conda activate geohack

To deactivate the geohack environment:

conda deactivate

Once all the required packages are installed, you can start JupyterLab and run the jupyter notebooks from the docs folder:

jupyter lab

To contribute to geo-open-hack-2024 please refer to CONTRIBUTING

Pangeo open source community abide to this Code of Conduct