Metadata-Version: 1.1
Name: urbansim
Version: 1.2
Summary: Tool for modeling metropolitan real estate markets
Home-page: https://github.com/synthicity/urbansim
Author: Synthicity
Author-email: ffoti@synthicity.com
License: BSD
Description: UrbanSim
        ========
        
        .. image:: https://travis-ci.org/synthicity/urbansim.svg?branch=master
           :alt: Build Status
           :target: https://travis-ci.org/synthicity/urbansim
        
        .. image:: https://coveralls.io/repos/synthicity/urbansim/badge.png?branch=master
           :alt: Test Coverage
           :target: https://coveralls.io/r/synthicity/urbansim?branch=master
        
        New version of UrbanSim, a tool for modeling metropolitan real estate
        markets
        
        .. image:: http://i.imgur.com/4YyN8ob.jpg
           :alt: synthicity
        
        `Detailed documentation <http://synthicity.github.io/urbansim/>`__ for
        UrbanSim is now available.
        
        `Click
        here <http://synthicity.github.io/urbansim/gettingstarted.html#installation>`__
        for installation instructions.
        
        UrbanSim History
        ----------------
        
        UrbanSim (http://urbansim.org/) is a model system for analyzing
        urban development. It is an open source platform that has been
        continuously refined and distributed for planning applications around
        the world for over 15 years. Part of the evolution of the platform is
        the necessary process of re-engineering the code to take advantage of
        new developments in computational libraries and infrastructure. We
        implemented UrbanSim initially in Java in the late 1990's, and by 2005
        determined that it was time to re-implement it in Python, and created
        the Open Platform for Urban Simulation (OPUS) software implementation at
        that time. Now, almost a decade later, it is time again to revisit the
        implementation to take advantage of an amazing amount of innovation in
        the scientific computing community. The new implementation is hosted on
        this GitHub site, and maintained by Synthicity and hopefully a growing
        community of contributors.
        
        New UrbanSim Implementation
        ---------------------------
        
        This new code base is a streamlined complete re-implementation of the
        longstanding UrbanSim project aimed at *reducing the complexity* of
        using the UrbanSim methodology. Redesigned from the ground up, the new
        library is trivial to install, the development process is made
        transparent via this GitHub site, and exhaustive documentation has been
        created in the hopes of making modeling much more widely accessible to
        planners and new modelers.
        
        We lean heavily on the `PyData <http://pydata.org>`__ community to make
        our work easier - Pandas, `IPython <http://ipython.org/>`__, and
        `statsmodels <http://statsmodels.sourceforge.net/>`__ are ubiquitous in
        this work. These Python libraries essentially replace the UrbanSim
        Dataset class, tools to read and write from other storage, and some of
        the statistical estimation previously implemented by UrbanSim.
        
        This makes our task easier as we can focus on urban modeling and leave
        the infrastructure to the wider Python community. The
        `Pandas <http://pandas.pydata.org>`__ library is the core of the new
        UrbanSim, which is an extremely popular data manipulation library with a
        large community providing support and a very helpful
        `book <http://www.amazon.com/Python-Data-Analysis-Wes-McKinney/dp/1449319793>`__.
        
        We have now converted a full set of UrbanSim models to the new
        framework, and have running applications for the Paris, Albuquerque,
        Denver, Bay Area, and Detroit regions. We have implemented a complete
        set of hedonic price models, location choice models, relocation and
        transition models, as well as a new real estate development model using
        proforma analysis.
        
        We do strongly recommend that you contact info@synthicity.com about your
        project to make sure you can get professional support when you need it,
        and know what you are getting into. For major applied projects,
        professional support is highly recommended.
        
        **On the other hand, if you just want to begin experimenting and
        creating regression and choice models and map their inputs and outputs,
        you've also come to the right place.**
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 2.7
Classifier: License :: OSI Approved :: BSD License
