Abstract This paper describes the design, implementation and research of Cyber Sleuth Science Lab (CSSL), an innovative educational program supporting virtual learning environment, that combines pedagogical theory, gender inclusive instruction strategies, scientific principles/practices, gamification methods, computational thinking, real-world problem solving. provides underrepresented youth, e...

This paper discusses the calibration and assessment of a cellular automata model for urban growth modeling. A number of transition rules are introduced in the cellular automata model to consider the most influential urbanization factors, such as land-cover maps obtained from satellite images and population density from the census. The transition rules are calibrated both spatially and temporall...

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 these simulations? This paper aims to an...

Regional planners and decision makers are teaming up with data providers and urban growth modelers in the ongoing effort to map historic extents of urbanization, forecast future extents, and predict impacts on the local environment. Spatial data layers that are nationally consistent across space and time are valuable input variables for some predictive models, but can be of limited use because ...

Monitoring and simulating urban sprawl and its effects on land-use patterns andhydrological processes in urbanized watersheds are essential in land-use and waterresourceplanning and management. This study applies a novel framework to the urbangrowth model Slope, Land use, Excluded land, Urban extent, Transportation, andHillshading (SLEUTH) and land-use change with the Conversion of Land use and...

Re-creation of the extent of urban land use at different periods in time is valuable for examining how cities grow and how policy changes influence urban dynamics. To date, there has been little focus on the modeling of historical urban extent (other than for ancient cities). Instead, current modeling research has emphasized simulating the cities of the future. Predictive models can provide ins...

This study explores the combined application of remote sensing, spatial metrics and spatial modeling to the analysis and modeling of urban growth in Santa Barbara, California. The investigation is based on a 72-year time series data set compiled from interpreted historical aerial photography and from IKONOS satellite imagery. Spatial metrics were used both specifically to assess the impact of u...

Natural language generation needs an input language whose expressive power is sufficient for generating texts with the level of quality desired by various NLP applications. In oar generator, DIOGENES(e.g., Nirenburg et al., 1989), we use the text meaning representation language TAMERLAN(Nirenburg and Defrise, 1989 and forthcoming). Expressions in this language are used as input by the DIOGENES ...

Personal protective equipment (PPE) markedly increases heat strain, reduces work performance, and increases the incidence of heat casualties. Microclimate cooling (MCC) technologies have been successfully used to alleviate heat strain and sustain performance (Pandolf et al., 1995) (Figure 1) in mounted soldiers, but cooling limitations, power and weight restrictions do not currently make this t...