Skip to main content

Platform for building statistical models of cities and regions

Project description

Latest Version Build Status Test Coverage

UrbanSim is a platform for building statistical models of cities and regions. These models help forecast long-range patterns in real estate development, demographics, and related outcomes, under various policy scenarios.

This urbansim Python library is a core component. It contains tools for statistical estimation and simulation; domain-specific logic about housing markets, household relocation, and other processes; and frameworks and utilities for assembling a model.

How it works

Operational UrbanSim models begin with detailed data about a particular region, and then estimate and validate a system of interconnected model components. Full models draw on a number of libraries: not just urbansim, but also Orca for task orchestration, Synthpop for population synthesis, Pandana for network analysis, and so on. Collectively, these make up the Urban Data Science Toolkit (UDST).

UrbanSim models are used by public agencies, consultancies, and researchers in dozens of cities around the U.S. and world. The core platform is open source, but many operational models make use of additional cloud-hosted model building and visualization tools provided by UrbanSim Inc.

Learn More

Installation

  • pip install urbansim

  • conda install urbansim --channel conda-forge

Technical documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

urbansim-3.2.tar.gz (68.6 kB view details)

Uploaded Source

Built Distribution

urbansim-3.2-py2.py3-none-any.whl (72.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file urbansim-3.2.tar.gz.

File metadata

  • Download URL: urbansim-3.2.tar.gz
  • Upload date:
  • Size: 68.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for urbansim-3.2.tar.gz
Algorithm Hash digest
SHA256 c3ded3bd19b7ea7cedfa1ae50af9ccd9ec9da6dd9585adbf0b776e6c92b89e1e
MD5 28ef3556480835747ba1d2c4b0c2d7c0
BLAKE2b-256 d2c3509f24a5ea063ac529e5d30b34357041374a7324b67ab21f8474346b893a

See more details on using hashes here.

File details

Details for the file urbansim-3.2-py2.py3-none-any.whl.

File metadata

  • Download URL: urbansim-3.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 72.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for urbansim-3.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 de5fe874983c1d1e9a56f0782331aed00615cd4b015624ff8134ef203e2522be
MD5 c0eaa49eb1946d9b5f9849e7f68062d6
BLAKE2b-256 6d9076b6cfad6855c4ea9a226ad1a0f5048ea374b4d4e8481c3e9110332f305b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page