[ sid ]
[ 原始碼： pointpats ]
套件：python3-pointpats（2.4.0-2）
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.
其他與 python3-pointpats 有關的套件
|
|
|
|
-
- 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
-
- rec: python3-geopandas
- Python3 tools for geographic data
-
- sug: python-pointpats-doc
- statistical analysis of planar point patterns (common documentation)
-
- sug: python3-shapely
- geometric objects, predicates, and operations (Python 3)
-
- sug: python3-sklearn
- Python modules for machine learning and data mining - Python 3