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First off, go here to read the mission statement for this project.
Go here to read the latest installation notes.
Go here to learn a bit about the tools of the trade: Pandas and IPython Notebooks
Go here to read a primer on a typical application of UrbanSim to predict regional real estate markets.
Go here to read a description of the architectural design of the new UrbanSim framework.
Go here to learn how model entry points work.
Go here to learn about model configuration files.
Go here to learn how to use the new UrbanSim data access layer.
Go here to learn how to run an UrbanSim simulation in the IPython Notebook.
Go here to learn how to estimate models in the IPython Notebook.
Go here to learn about the UrbanSim real estate pro forma.
Go here to learn how to specify regional development scenarios using UrbanSim.
Model documentation is provided at the API level and is currently hosted here.
The regression models, location choice models, transition models, and developer models are all documented at the API level, and more documentation will be added over time.
Go here to learn about integration with the Synthicity UrbanCanvas product.