SLEUTH is a mature cellular automaton urban model, now applied to over 100 different cities and regions. In this paper, the model’s context and history is introduced, the applications reviewed and some model improvements and sensitivity tests summarized. A section discusses how the model works and then the model’s limitations and assumptions are critically examined with the intent of revealing ...

We outline the design, prototyping, and evaluation of an immersive audio game, Sleuth: An Audio Experience. We examine related applications based on wearable computing and augmented reality technologies, and discuss the game audio design and user interaction issues. The game environment was prototyped using VRML 2.0 and Java.

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...

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...

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...

Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. In this paper we introduce SLEUTH, an efficient algorithm for mining frequent, unordered, embedded subtrees in a database of labeled trees. The key contributions of our work are as follows: We give the first algorithm that enumerates all embedded, unordered trees. We propose ...

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...