dogear

enter for all results · esc to close

Urbansprawl

github.comtool

The urbansprawl project provides an open source framework for assessing urban sprawl using open data. It uses OpenStreetMap (OSM) data to calculate its sprawling indices, divided in Accessibility, Land use mix, and Dispersion.

from
Urban & Regional Planning
added
2026-10-10
likes
0

similar

  1. UrbanSim github.com

    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. Information: License: BSD License: Provider: UrbanSim Inc. (UDST).

  2. Urban Computing Foundation github.com

    Accelerating open source and community development that improves mobility, safety, infrastructure, traffic, and energy consumption in connected cities. Additional Information: Landscape.

  3. UrbanFootPrint urbanfootprint.com

    Web-based planning tool serving curated urban, environmental, and economic data to urban practitioners and equipping them with the analytic capabilities to plan and improve communities faster, better, and at lower cost.

  4. Exploring Urban Form Through Openstreetmap Data: A Visual Introduction arxiv.org

    Urban Experience and Design: Contemporary Perspectives on Improving the Public Realm, 2020. [All Versions]. [OSMnx Tool]. [OpenStreetMap Website].

  5. City Access Map cityaccessmap.com

    CityAccessMap was developed by urban scientists, for urban planners. It uses open data from OpenStreetMap and the Global Human Settlement Layer (GHSL), to quantify and visualize walking accessibility to a variety of services for any city in the world.

  6. global-indicators github.com

    Case study projected dedicated to developing global healthy and sustainable city-indicators collaboration.

Urban & Regional Planning › Planning Coding Resources > Python: “The urbansprawl project provides an open source framework for assessing urban sprawl using open data. It uses OpenStreetMap (OSM) data to calculate its sprawling indices, divided in Accessibility, Land use mix, and Dispersion.”