Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model

Claire A. Jantz, Scott J. Goetz, David Donato, Peter Claggett

Research output: Contribution to journalArticlepeer-review

153 Scopus citations

Abstract

This paper presents a fine-scale (30 meter resolution) regional land cover modeling system, based on the SLEUTH cellular automata model, that was developed for a 257000 km2 area comprising the Chesapeake Bay drainage basin in the eastern United States. As part of this effort, we developed a new version of the SLEUTH model (SLEUTH-3r), which introduces new functionality and fit metrics that substantially increase the performance and applicability of the model. In addition, we developed methods that expand the capability of SLEUTH to incorporate economic, cultural and policy information, opening up new avenues for the integration of SLEUTH with other land-change models. SLEUTH-3r is also more computationally efficient (by a factor of 5) and uses less memory (reduced 65%) than the original software. With the new version of SLEUTH, we were able to achieve high accuracies at both the aggregate level of 15 sub-regional modeling units and at finer scales. We present forecasts to 2030 of urban development under a current trends scenario across the entire Chesapeake Bay drainage basin, and three alternative scenarios for a sub-region within the Chesapeake Bay watershed to illustrate the new ability of SLEUTH-3r to generate forecasts across a broad range of conditions.

Original languageEnglish (US)
Pages (from-to)1-16
Number of pages16
JournalComputers, Environment and Urban Systems
Volume34
Issue number1
DOIs
StatePublished - Jan 2010
Externally publishedYes

Keywords

  • Cellular automata
  • Chesapeake Bay
  • SLEUTH
  • Urban modeling
  • Urban simulation

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Ecological Modeling
  • Environmental Science(all)
  • Urban Studies

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