SLEUTH is a well-known simulation model for forecasting urban growth using cellular automata techniques. Although recent work has been done to produce parallel implementations of SLEUTH, most of these efforts have been directed towards clustered MPI solutions. Recent advances in both the computing power of graphics cards and the development of general purpose programming interfaces for these de...

One of the powerful tools geospatial modeling uses is the Monte Carlo Method. However, little work has been done on measuring the optimal number of Monte Carlo iterations to be performed. In this work, we present the new utility of two metrics for deriving the number of Monte Carlo iterations needed to calibrate the CA-based SLEUTH Urban Growth Model. SLEUTH calibration is the process of choosi...

Domain Models [8, 9, 25] have long been used as a basis for software development and reuse. We present a specialized, simplified domain model that has been used for system testing in industry as the framework for a system testing approach we call Application Domain Based Testing. Sleuth, a test suite generation tool, is based on this concept. We report on the domain analysis, the domain model c...

Does the spacing of time intervals used for model input data have an impact on the model’s subsequent calibration and so projections of land use change and urban growth? This study evaluated the performance of the SLEUTH urban growth and land use change model through two independent model calibrations with different temporal extents (1972 to 2006 vs. 2000 to 2006) for the historical Italian cit...

Mail-Sleuth is a personal productivity tool that allows individuals to manage email and visualize its contents using line diagrams. Based on earlier work on the Conceptual Email Manager (Cem), a major hypothesis of Mail-Sleuth is that novices to Formal Concept Analysis can read a lattice diagram. Since there is no empirical evidence for this in the Formal Concept Analysis literature this paper ...