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|
%global _empty_manifest_terminate_build 0
Name: python-pointpats
Version: 2.3.0
Release: 1
Summary: Methods and Functions for planar point pattern analysis
License: 3-Clause BSD
URL: https://github.com/pysal/pointpats
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/07/a8/1e1e47eeece4e9d7b2536f2d9b66af172a0400a104231a98fd6c959e767a/pointpats-2.3.0.tar.gz
BuildArch: noarch
Requires: python3-scipy
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-matplotlib
Requires: python3-libpysal
Requires: python3-sphinx
Requires: python3-sphinxcontrib-bibtex
Requires: python3-sphinx-bootstrap-theme
Requires: python3-scikit-learn
Requires: python3-pytest
Requires: python3-codecov
Requires: python3-pytest-cov
%description
# pointpats: Point Pattern Analysis in PySAL
[](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)
[](https://codecov.io/gh/pysal/pointpats)
[](https://pointpats.readthedocs.io/en/latest/?badge=latest)
[](https://badge.fury.io/py/pointpats)
[](https://doi.org/10.5281/zenodo.3265637)
Statistical analysis of planar point patterns.
This package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.
## Introduction
This [pointpats](https://github.com/pysal/pointpats) package is intended
to support the statistical analysis of planar point patterns.
It currently works on cartesian coordinates. Users with data in
geographic coordinates need to project their data prior to using this
module.
## Documentation
Online documentation is available
[here](https://pointpats.readthedocs.io).
## Examples
- [Basic point pattern
structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)
- [Centrography and
visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)
- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)
- [Simulation of point
processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)
- [Distance based
statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)
## Installation
Install pointpats by running:
$ pip install pointpats
## Development
pointpats development is hosted on
[github](https://github.com/pysal/pointpats).
As part of the PySAL project, pointpats development follows these
[guidelines](http://pysal.org/getting_started).
## Bug reports
To search for or report bugs, please see pointpats'
[issues](https://github.com/pysal/pointpats/issues).
## BibTeX Citation
```
@misc{sergio_rey_2019_3265637,
author = {Sergio Rey and
Wei Kang and
Hu Shao and
Levi John Wolf and
Mridul Seth and
James Gaboardi and
Dani Arribas-Bel},
title = {pysal/pointpats: pointpats 2.1.0},
month = jul,
year = 2019,
doi = {10.5281/zenodo.3265637},
url = {https://doi.org/10.5281/zenodo.3265637}
}
```
%package -n python3-pointpats
Summary: Methods and Functions for planar point pattern analysis
Provides: python-pointpats
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pointpats
# pointpats: Point Pattern Analysis in PySAL
[](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)
[](https://codecov.io/gh/pysal/pointpats)
[](https://pointpats.readthedocs.io/en/latest/?badge=latest)
[](https://badge.fury.io/py/pointpats)
[](https://doi.org/10.5281/zenodo.3265637)
Statistical analysis of planar point patterns.
This package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.
## Introduction
This [pointpats](https://github.com/pysal/pointpats) package is intended
to support the statistical analysis of planar point patterns.
It currently works on cartesian coordinates. Users with data in
geographic coordinates need to project their data prior to using this
module.
## Documentation
Online documentation is available
[here](https://pointpats.readthedocs.io).
## Examples
- [Basic point pattern
structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)
- [Centrography and
visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)
- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)
- [Simulation of point
processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)
- [Distance based
statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)
## Installation
Install pointpats by running:
$ pip install pointpats
## Development
pointpats development is hosted on
[github](https://github.com/pysal/pointpats).
As part of the PySAL project, pointpats development follows these
[guidelines](http://pysal.org/getting_started).
## Bug reports
To search for or report bugs, please see pointpats'
[issues](https://github.com/pysal/pointpats/issues).
## BibTeX Citation
```
@misc{sergio_rey_2019_3265637,
author = {Sergio Rey and
Wei Kang and
Hu Shao and
Levi John Wolf and
Mridul Seth and
James Gaboardi and
Dani Arribas-Bel},
title = {pysal/pointpats: pointpats 2.1.0},
month = jul,
year = 2019,
doi = {10.5281/zenodo.3265637},
url = {https://doi.org/10.5281/zenodo.3265637}
}
```
%package help
Summary: Development documents and examples for pointpats
Provides: python3-pointpats-doc
%description help
# pointpats: Point Pattern Analysis in PySAL
[](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)
[](https://codecov.io/gh/pysal/pointpats)
[](https://pointpats.readthedocs.io/en/latest/?badge=latest)
[](https://badge.fury.io/py/pointpats)
[](https://doi.org/10.5281/zenodo.3265637)
Statistical analysis of planar point patterns.
This package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.
## Introduction
This [pointpats](https://github.com/pysal/pointpats) package is intended
to support the statistical analysis of planar point patterns.
It currently works on cartesian coordinates. Users with data in
geographic coordinates need to project their data prior to using this
module.
## Documentation
Online documentation is available
[here](https://pointpats.readthedocs.io).
## Examples
- [Basic point pattern
structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)
- [Centrography and
visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)
- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)
- [Simulation of point
processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)
- [Distance based
statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)
## Installation
Install pointpats by running:
$ pip install pointpats
## Development
pointpats development is hosted on
[github](https://github.com/pysal/pointpats).
As part of the PySAL project, pointpats development follows these
[guidelines](http://pysal.org/getting_started).
## Bug reports
To search for or report bugs, please see pointpats'
[issues](https://github.com/pysal/pointpats/issues).
## BibTeX Citation
```
@misc{sergio_rey_2019_3265637,
author = {Sergio Rey and
Wei Kang and
Hu Shao and
Levi John Wolf and
Mridul Seth and
James Gaboardi and
Dani Arribas-Bel},
title = {pysal/pointpats: pointpats 2.1.0},
month = jul,
year = 2019,
doi = {10.5281/zenodo.3265637},
url = {https://doi.org/10.5281/zenodo.3265637}
}
```
%prep
%autosetup -n pointpats-2.3.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-pointpats -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.0-1
- Package Spec generated
|
