Dynamic Urban Growth Models
Definition
Dynamic Urban Growth Models are GIS-integrated simulation tools that predict how cities expand over time based on spatial drivers such as population growth, land availability, transportation, and policy. These models incorporate feedback loops and temporal data to simulate future land-use patterns and urban sprawl.
Application
Planners use urban growth models to test zoning regulations or infrastructure projects. Environmental analysts assess how expansion affects ecosystems or floodplains. Models like SLEUTH and Cellular Automata simulate urban patterns under multiple scenarios. GIS integrates inputs like DEMs, roads, and population grids to run time-based predictions and visualize projected urban landscapes.
FAQ
1. What do dynamic urban growth models simulate?
They forecast spatial patterns of city expansion based on growth drivers and constraints.
2. What do dynamic urban growth models simulate?
To input spatial data, calibrate scenarios, and visualize predicted development outcomes.
3. What do dynamic urban growth models simulate?
Urban planners, environmental agencies, policy researchers, and geographers.
4. What do dynamic urban growth models simulate?
SLEUTH, IDRISI’s Land Change Modeler, and CA-Markov in TerrSet.