The objective of this paper is to describe the process through which climate change scenarios were downscaled in an urban land use model and the results of this experimentation. The land use models (Urban Growth Model [UGM] and the Land Cover Deltatron Model [LCDM]) utilized in the project are part of the SLEUTH program which uses a probabilistic cellular automata protocol. The land use change ...

This paper is the result of an investigation into applying statistical tools and methodologies to the discovery of digital evidence. Multiple statistical methods were reviewed; the two most useful are presented here. It is important to note that this paper represents an inquiry into the value of applied mathematical analysis to digital forensics investigations. Readers are encouraged to explore...

These proceedings outline steps toward a systematic analysis of frontier energy collider data: specifically, those data collected at Tevatron Runs I and II, LEP Run II, HERA Runs I and II, and the future LHC. Algorithms designed to understand the gross features of the data (Vista), to systematically and model-independently search for new physics at the electroweak scale (Sleuth), to automate te...

We used the SLEUTH urban growth model, closely coupled with a land transition model, to simulate future urban growth in the Houston metropolitan area, one of the fastest growing metropolises in the United States during the past three decades. The model was calibrated with historical data extracted from a time series of satellite images. Three specific scenarios are designed to simulate the spat...