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Paketti: python3-pointpats (2.4.0-1)

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.

Muut pakettiin python3-pointpats liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
  • dep: python3-libpysal
    Library of spatial analysis functions
  • dep: python3-matplotlib
    Python based plotting system in a style similar to Matlab (Python 3)
  • dep: python3-numpy
    Fast array facility to the Python language (Python 3)
  • dep: python3-pandas
    data structures for "relational" or "labeled" data
  • dep: python3-scipy
    scientific tools for Python 3

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