xdggs

xdggs is an extension for Xarray that provides tools to handle geospatial data using Discrete Global Grid Systems (DGGS). It allows efficient manipulation and analysis of multi-dimensional gridded data within a DGGS framework, facilitating spatial data processing, resampling, and aggregations on both global and regional scales.

Key Features

• Seamless Integration with Xarray: Use xdggs alongside Xarray's powerful tools for managing labeled, multi-dimensional data.
• Support for DGGS: Convert geospatial data into DGGS representations, allowing for uniform spatial partitioning of the Earth's surface.
• Spatial Resampling: Resample data on DGGS grids, enabling downscaling or upscaling across multiple resolutions.
• DGGS Aggregation: Perform spatial aggregation of data on DGGS cells.
• Efficient Data Management: Manage large datasets with Xarray's lazy loading, Dask integration, and chunking to optimize performance.

Installation

To install xdggs, you can clone the repository and install it using pip:

git clone https://github.com/xarray-contrib/xdggs.git
cd xdggs
pip install .

Alternatively, you can install it directly via pip (once it's available on PyPI):

pip install xdggs

Demo

Getting Started

As an example, this is how you would use xdggs to reconstruct geographical coordinates from the cell ids then create an interactive plot indicating cell ids, data values and the associated geographical coordinates:

import xarray as xr
import xdggs

# Load the dataset created by ./examples/prepare_dataset_h3.ipynb
ds = xr.open_dataset("data/h3.nc", engine="netcdf4")

# Decode DGGS coordinates
ds_idx = ds.pipe(xdggs.decode)

# Assign geographical coordinates
ds_idx = ds_idx.dggs.assign_latlon_coords()

# Interactive visualization
ds_idx['air'].isel(time=0).compute().dggs.explore(center=0, cmap="viridis", alpha=0.5)

Dependencies

• Python >= 3.10
• Xarray >= 2023.09.0
• NumPy >= 1.24.0
• Dask >= 2023.10.0 (optional, for parallel computing)

Documentation

You can find the documentation in https://xdggs.readthedocs.io/en/latest/.

Roadmap

We have exciting plans to expand xdggs with new features and improvements. You can check out our roadmap in the design_doc.md file for details on the design of xdggs, upcoming features, and future enhancements.

Contributing

We welcome contributions to xdggs! Please follow these steps to get involved:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and write tests.
4. Ensure all tests pass (pytest).
5. Submit a pull request!

License

xdggs is licensed under the Apache License License. See LICENSE for more details.

Acknowledgments

This project was inspired by the increasing need for scalable geospatial data analysis using DGGS and is built upon the robust ecosystem of Xarray.