A library for spatial joins of geographic data
Project description
libadalina-core
A Python library for spatial data processing. It makes it easier to work with geospatial data in Python by providing a high-level interface to Apache Sedona, a powerful geospatial processing engine, and integrates nicely with other well-known libraries such as geopandas and pandas.
Installation
liabadalina-core can be installed using pip:
pip install libadalina-core
If JAVA_HOME environment variable is not set a suitable JDK will be downloaded in $HOME/.jre and used automatically.
Not all JRE are supported, so if you encounter issues, you can try the automatically installed version.
Usage
You can find the documentation at libadalina-core documentation.
Jupiter noteebooks with examples can be found in the libadalina-examples repository.
Features
- Reading and writing geospatial data from various formats
- Spatial joins between datasets
- Spatial aggregations
- Utilities for working with Apache Sedona
- Configuration helpers for setting up Apache Sedona
Requirements
- Python 3.10
- Dependencies:
- apache-sedona[spark]
- pyspark
- pandas
- geopandas
- install-jdk
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