SLEUTH

The SLEUTH model, also known as the Clarke Cellular Automata Urban Growth Model or as the Clarke Urban Growth Model, is intended to simulate urban growth in order to aid in understanding of how expanding urban areas consume their surrounding land, and the environmental impact this has on the local environment. SLEUTH derives its name from the six types of data inputs: slope, land use, urban, exclusion, transportation, and hill shading. SLEUTH is calibrated using these types of historical data. It produces forecasts of land use change from a local to regional scale.

This model simulates the transition from non-urban to urban land-use using cellular automata. This body of methods generates dynamic spatial patterns by applying growth rules to a grid of cells, each of whose land-use state is dependent upon local factors (e.g. roads, existing urban areas, topography), temporal factors, and random factors. Additionally other, non-urban land use transitions (such as range land to agricultural land) can be simulated assuming urbanization is the driver. Annual maps of forecasted change are generated allowing for animated display of forecasts over time as well as integration in GIS databases for further spatial analyses.

URL

http://www.ncgia.ucsb.edu/projects/gig (External Link)

For Application Domains

Land Use Planning

Decision Problem Types Targeted

Impact Assessment

Status Assessment

Domain Knowledge Modeling Area

Land Use Change

Urban Growth Modeling

Planning And Decision Process Phases/Steps Served

Scenario Simulation And Comparison

Visualization

Methods And Techniques Implemented

Cellular Automata

Input Type

Spatial Dataset

Input Data Format

Raster

Output Type

Map Image

Text Document

Output Data Format

Image File (.Gif)

Text File (.TXT)

Platform

UNIX

Unix Variant

Description Of System Components

Sdsstool:Userdefinedanalysisunit

Scientific Expertise Level Required

Some Scientific Background

Technical Expertise Level Required

Some Computer/GIS Programming Skills

Online Download Available

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Cost

Free

Development Status

Regularly Distributed

Contact Person

Keith Clarke

Parent Categories

Software Tools And Models - All

Spatial Decision Support Tools

Comment

- Concurrently simulates four types of growth (spontaneous, diffusive, organic, and road-influenced)
- Provides both graphical and statistical outputs.
- Incorporates momentum of booms and busts using threshold multiplier with
subsequent temporal decay.
- Allows for relatively simple alternative scenario projection.

The model does not explicitly deal with population, policies and economic impacts on land use change, except in terms of growth around roads or those that can be expressed in permissive/controlled growth zoning.

Last Updated

2/18/2010

Software Type

Spatial Decision Support Tools

Model Type

Simulation Models

Decision Process Activity Types Served

Decision Alternatives Generation, Scenario Simulation

Visualization

Graphical Ontology Browser

  • Click on a node to jump to the content of that node
  • Pan to see the rest of the graph
  • Scroll the mousewheel up and down to zoom in and out
  • Rearrange the nodes in the graph by dragging a node to a different position

References

IntroductionPlanning/Decision ContextPlanning And Spatial Decision ProcessSpatial Planning And Decision Problem TypesMethods And Techniques
methods and techniques; methodology
TechnologyData And Domain KnowledgePeople And ParticipationResources