Metadata-Version: 2.1
Name: momepy
Version: 0.1rc4
Summary: Urban Morphology Measuring Toolkit
Home-page: http://momepy.org
Author: Martin Fleischmann
Author-email: martin@martinfleischmann.net
License: MIT
Description: # momepy
        [![Documentation Status](https://readthedocs.org/projects/momepy/badge/?version=latest)](http://docs.momepy.org/en/latest/?badge=latest) [![Build Status](https://travis-ci.org/martinfleis/momepy.svg?branch=master)](https://travis-ci.org/martinfleis/momepy) [![codecov](https://codecov.io/gh/martinfleis/momepy/branch/master/graph/badge.svg)](https://codecov.io/gh/martinfleis/momepy) [![CodeFactor](https://www.codefactor.io/repository/github/martinfleis/momepy/badge)](https://www.codefactor.io/repository/github/martinfleis/momepy)
        
        ![momepy: urban morphology measuring toolkit](https://raw.githubusercontent.com/martinfleis/momepy/master/docs/logo.png)
        
        ## Introduction
        Momepy is a project allowing advanced quantitative analysis of urban morphology. Embracing principles of *Urban Morphometrics* (Dibble, 2017), this toolkit aims to provide tools for the development of complex frameworks for a description of urban structures.
        
        > *momepy* stands for Morphological Measuring in Python
        
        Momepy is a result of ongoing research of [Urban Design Studies Unit (UDSU)](http://udsu-strath.com) supported by the Axel and Margaret Ax:son Johnson Foundation as a part of “The Urban Form Resilience Project” in partnership with University of Strathclyde in Glasgow, UK.
        
        Comments, suggestions, feedback, and contributions, as well as bug reports, are very welcome.
        
        ## Documentation
        Documentation of `momepy` is available at [docs.momepy.org](https://docs.momepy.org/).
        
        ## User Guide
        User guide with examples of `momepy` usage is available at [guide.momepy.org](https://guide.momepy.org/).
        
        ## Install
        You can install `momepy` using Conda from `conda-forge` (recommended):
        
            conda install -c conda-forge momepy
        
        or from PyPI using `pip`:
        
            pip install momepy
        
        See the [installation instructions](http://docs.momepy.org/en/latest/install.html) for detailed instructions.
        Momepy depends on python geospatial stack, which might cause some dependency issues.
        
        ## Contributing to momepy
        Contributions of any kind to momepy are more than welcome. That does not mean new code only, but also improvements of documentation and user guide, additional tests (ideally filling the gaps in existing suite) or bug report or idea what could be added or done better.
        
        All contributions should go through our GitHub repository. Bug reports, ideas or even questions should be raised by opening an issue on the GitHub tracker. Suggestions for changes in code or documentation should be submitted as a pull request. However, if you are not sure what to do, feel free to open an issue. All discussion will then take place on GitHub to keep the development of momepy transparent.
        
        If you decide to contribute to the codebase, ensure that you are using an up-to-date `master` branch. The latest development version will always be there, including a significant part of the documentation (powered by `sphinx`). The user guide is located in the `gh-pages` branch and is powered by `Jupyter book`.
        
        Details are available in the [documentation](https://docs.momepy.org/).
        
        ## Get in touch
        If you have a question regarding momepy, feel free to open an issue on GitHub. Eventually, you can contact us on [dev@momepy.org](mailto:dev@momepy.org).
        
        ---
        Copyright (c) 2018-2019 Martin Fleischmann, University of Strathclyde, Urban Design Studies Unit
        
Keywords: urban morphology,urban morphometrics,tessellation
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: GIS
Description-Content-Type: text/markdown
