deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: all
Depends: python3-geopandas, python3-libpysal, python3-matplotlib, python3-numpy,
python3-pandas, python3-scipy, python3-shapely, python3:any
Description: |-
statistical analysis of planar point patterns
The main objective of this module is to provide methods and functions for
analyzing spatial patterns in point data. This includes the detection and
characterization of different types of patterns, such as clusters, scatters
or random patterns.
.
The project is integrated with the PySAL library, which is a broader library
for spatial analysis in Python. This means that PointPatterns can be used in
conjunction with other tools available in the PySAL ecosystem.
.
One of the main features of the module is to provide methods to calculate
descriptive statistics, detect spatial clusters, perform orbit analysis
and even perform statistical tests to evaluate the significance of observed
patterns.
Homepage: https://github.com/pysal/pointpats
Installed-Size: '267'
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Package: python3-pointpats
Priority: optional
Section: python
Source: pointpats
Suggests: python-pointpats-doc, python3-sklearn
Version: 2.5.1-1
srcpkg_name: pointpats
srcpkg_version: 2.5.1-1