Ubuntu
pointpats package

pointpats 2.4.0-2 source package in Ubuntu

Changelog

pointpats (2.4.0-2) unstable; urgency=medium

  * Team upload.
  * d/control: This is a Debian Science team package, mark as such.
  * d/control: build-dep on setuptools-scm to fix wrong "0.0.0" version
  * d/control: annotate some build-deps with build profiles
  * d/rules: use regular pybuild for running the tests. Also fixes the
             pybuild-autopkgtest to actually test the package.
  * d/control: reformat
  * Remove trailing whitespace in debian/copyright (routine-update)
  * Remove trailing whitespace in debian/rules (routine-update)
  * Added patch to create intersphinx links to packages documentation instead
    of remote sites, when possible.

 -- Michael R. Crusoe <email address hidden>  Fri, 26 Apr 2024 13:57:44 +0200

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc

Builds

Oracular: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pointpats_2.4.0-2.dsc 2.8 KiB 3e70587c8144917167b26e37f410857d7cf4ebd601b5ee86166b5269fad8821b
pointpats_2.4.0.orig.tar.gz 4.1 MiB 558604082c27c1bd4d05c1b8271a92c6c2ee4503fbc176d0f3c88c7094a99012
pointpats_2.4.0-2.debian.tar.xz 5.6 KiB 0cf3b99604736c7b821dc576955f913677229089379586dc23651dae775a0687

Available diffs

No changes file available.

Binary packages built by this source

python-pointpats-doc: statistical analysis of planar point patterns (common documentation)

 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.
 .
 This package installs the common documentation package.

python3-pointpats: 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.