Learn More
This paper explores an addition to theory in urban geography pertaining to spatio-temporal dynamies. Remotely sensed data on the historical extent of urban areas were used in a spatial metrics analysis of geographical form of towns and cities in the Central Valley of California (USA). Regularities in the spatio-temporal pattern of urban growth were delected(More)
Research publications reflect the views of the authors and do not necessarily reflect the views of the staff, officers, or Board of Directors of the Public Policy Institute of California. Short sections of text, not to exceed three paragraphs, may be quoted without written permission provided that full attribution is given to the source and the above(More)
SLEUTH is a computational simulation model that uses adaptive cellular automata to simulate the way cities grow and change their surrounding land uses. It has long been known that models are of most value when calibrated, and that using back-casting (testing against known prior data) is an effective calibration method. SLEUTH's calibration uses the brute(More)
Spatial models of urban growth have the ability to play an important role in the planning process; if not in aiding in policy decisions, then in processes such as visioning, storytelling, and scenario evaluation. One question that has not adequately been addressed is to what degree does disaggregating land use types from urban/non-urban categories add to(More)
The last decade has seen a renaissance in spatial modeling. Increased computational power and the greater availability of spatial data have aided in the creation of new modeling techniques for studying and predicting the growth of cities and urban areas. Cellular automata is one modeling technique that has become widely used and cited in the literature; yet(More)
The SLEUTH urban growth model [1] is a cellular automata model that has been widely applied throughout the geographic literature to examine the historic settlement patterns of cities and to forecast their future growth. In this research, the ability of the model to replicate historical patterns of land use is examined by calibrating the model to fit(More)
This paper investigates how portability of a model between different computer operating systems can lead to increased efficiency in code execution. The portability problem is not a trivial one, as many geographic models are designed to be run inside a set environment (Unix, Solaris, Linux, and Windows), and are further limited by hardware constraints. The(More)
This paper reviews the numerous and various applications of the SLEUTH urban growth model over the last decade. SLEUTH is a Cellular Automaton-based urban growth model that uses historical geospatial data for calibration of its parameters. Applications have covered the major cities of the United States, including Detroit, Chicago, New York, Washington, San(More)
  • 1