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 Francisco and Albuquerque. The model h...

rapidly increasing urbanization in the world, especially in developing countries, let to increasing urban extents. rapid urban growth causes to appearance many problems such as wasting environmental resources, inability of providing necessary services for citizens and unplanned growth. urban mangers and planners need tools for understanding amount and size of future urban growths to prevent the...

City of Kahramanmaras has witnessed a rapid growth in the last five decades due to its agricultural and industrial potential. Urbanization has brought great challenges to the sustainable development of cities, especially in developing countries. A modeling system that could provide regional assessments of future development and explore the potential impacts of different regional management scen...

Domain Based Testing (DBT) uses Domain Analysis and a Domain Model to automate test generation for command-based systems. Instead of using a Domain Model for reuse, we use it as a structure to generate test cases. Part of the Domain Model for DBT includes the syntax and semantics of the command language. Domain Based Testing separates command language syntax from command language semantics. The...

The SLEUTH model, based on the Cellular Automata (CA), can be applied to city development simulation in metropolitan areas. In this study the SLEUTH model was used to model the urban expansion and predict the future possible behavior of the urban growth in Tehran. The fundamental data were five Landsat TM and ETM images of 1988, 1992, 1998, 2001 and 2010. Three scenarios were designed to simula...

The Cellular Automata (CA) based SLEUTH model has emerged as a widely applied to many cities for land use cover (LULC) change and urban growth modelling due its simplicity, robustness, ease of implementation. present study employed rigorous sensitivity testing self-modifying constants, Monte Carlo runs critical slope determine their influence on calibration performance. Calibration performance ...

Land use change is driven by interaction in space and time between humans and the environment that can be captured by computer simulation models (Veldkamp and Verburg, 2004). In the last few decades, land use change models have played an important role in understanding the causes, mechanisms and consequences of land use dynamics. SLEUTH is an open source cellular automata based land use change ...

Original scientific paper In this study, the change in city growth of Afyonkarahisar in the adjacent area in the future was estimated using the SLEUTH model. The main objective of this study is to show the simulation of the change in the urban growth of Afyonkarahisar until 2030 with the SLEUTH model, a cellular automata model. For this purpose, two different growth scenarios have been develope...