Introduction#

libadalina-core is a Python library for spatial data processing and analysis providing utilities for reading, writing, and processing geospatial data, with a focus on spatial joins and aggregations.

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.

libadalina-core is part of the ADaLinA project that aims to develop a set of tools for the analysis of large-scale spatial data to be integrated into the Amelia homepage platform.

The online documentation is available ad https://libadalinacore-6b2a95.gitlab.io.

libadalina-core is partially funded by the European Union - Next Generation EU, Mission 4, Component 1 CUP J33C22002910001 - GRINS foundation, Project ADALINA.

Features#

  • Reading and writing geospatial data from various formats

  • Spatial joins between datasets

  • Spatial aggregations

  • Graph building from road networks

  • Utilities for working with Apache Sedona

  • Configuration helpers for setting up Apache Sedona

Requirements#

libadalina-core requires Python 3.10 and depends on the following libraries:

  • apache-sedona

  • pyspark

  • pandas

  • networkx

  • geopandas

  • install-jdk

libadalina-core has been tested with OpenJDK 17.