v1.1.2#

We are excited to announce the release of version v1.1.2! This update brings significant improvements, new features, and important bug fixes to enhance functionality, performance, and documentation.

This release is compatible with and has been tested on Python 3.10 to 3.13.

Optimisations#

Quadrat Correlation Matrix: Vectorisation of correlation computation for improved performance.
Proximity Networks: Network generation has been vectorised and made more efficient, with improved support for node order specification in distance matrices.
Alpha Shapes: Interior boundary detection now uses chordless cycles and sorts holes by area for improved accuracy and speed.
Matrix Operations: Optimised change_some_elements and get_c_from_sigma_inv for better performance.

Bug Fixes#

Moran’s I and Getis-Ord: Populations without required labels were previously included in calculations. This has been corrected—only labeled objects are now considered.
Alpha Shapes: Fixed hole identification issues in filtered Delaunay triangulation networks.
Proximity Networks: Local distances now computed correctly when using input shapes.

Documentation#

Ripley’s K Tutorial: A new tutorial with annotated schema has been added.
Schema Transparency: Added visual schemas throughout documentation, including tutorials and installation pages.
Documentation Improvements: General rewording, typo corrections, and enhanced readability across all main pages.
Status Badges: Package and test status badges added to the installation page.
Test Suite Report: Summary of test suite results included in the release notes page.
Package Overview: Graphical and textual overview of the package structure added to the main documentation.
Citations: Bibliography and publication list updated.

All tutorials have been updated to reflect the changes in version v1.1.2. We appreciate all contributions and feedback that helped shape this release!

For further details, refer to the documentation and upgrade guide.

Thank you for using our software!