Update README.md

README.md

@@ -1,6 +1,12 @@
 # xdggs
 
-`xdggs` is an extension for [Xarray](https://xarray.pydata.org/) 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.
+`xdggs` is an open-source Python package that provides tools for handling geospatial data using Discrete Global Grid Systems (DGGS).  
+
+It enables efficient manipulation and analysis of multi-dimensional gridded data within a DGGS framework, supporting spatial data processing, resampling, and aggregation on both global and regional scales.  
+
+Inspired by the growing need for scalable geospatial data analysis with DGGS, `xdggs` is built upon the robust [Xarray](https://xarray.pydata.org/) ecosystem, which simplifies working with labeled multi-dimensional arrays.  
+
+As an extension of Xarray, `xdggs` leverages Xarray's capabilities, including seamless access to formats like [NetCDF](https://www.unidata.ucar.edu/software/netcdf/), [Zarr](https://zarr.readthedocs.io/), and parallelization through [Dask](https://www.dask.org/), to provide a powerful and flexible toolkit for geospatial analysis.  
 
 ## Key Features
 
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 - **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:
-
-```bash
-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):
+## Documentation
 
-```bash
-pip install xdggs
-```
+You can find the documentation in [https://xdggs.readthedocs.io/en/latest/](https://xdggs.readthedocs.io/en/latest/).
 
 ## Demo
 
@@ -59,9 +53,6 @@ ds_idx['air'].isel(time=0).compute().dggs.explore(center=0, cmap="viridis", alph
 - 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/](https://xdggs.readthedocs.io/en/latest/).
 
 ## Roadmap
 
@@ -83,4 +74,3 @@ We welcome contributions to `xdggs`! Please follow these steps to get involved:
 
 ## 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.