University of Wisconsin–Stout

About: University of Wisconsin–Stout is a education organization based out in Menomonie, Wisconsin, United States. It is known for research contribution in the topics: Tourism & Population. The organization has 590 authors who have published 1101 publications receiving 20186 citations. The organization is also known as: UW–Stout & Stout.

Mantid - Data Analysis and Visualization Package for Neutron Scattering and $μ SR$ Experiments

Abstract: The Mantid framework is a software solution developed for the analysis and visualization of neutron scattering and muon spin measurements. The framework is jointly developed by software engineers and scientists at the ISIS Neutron and Muon Facility and the Oak Ridge National Laboratory. The objectives, functionality and novel design aspects of Mantid are described.

Tourism Image: Attribute Measurement of State Tourism Products Using Multidimensional Scaling Techniques:

Abstract: State tourism image is a complex combination of various products and associated attributes . Attribute identification, along with state tourism product position, was inves tigated using multidimensional scaling analysis (MDS). Two-dimensional analysis on image data collected for the states of Montana, Wyoming, Colorado, and Utah revealed salient attributes together with state touristic product images. The MDS procedure allowed for subjective interpretation of data, resulting in marketing implications for redirecting state image and modifying promotional campaigns. It was suggested that MDS analysis provides for alternative assessments of state tourism image, but before product reposition ing efforts are undertaken , individuals possessing intimate familiarity with the destination area be consulted for assistance in data interpretation.

Guidelines for a graph‐theoretic implementation of structural equation modeling

Abstract: Structural equation modeling (SEM) is increasingly being chosen by researchers as a framework for gaining scientific insights from the quantitative analyses of data. New ideas and methods emerging from the study of causality, influences from the field of graphical modeling, and advances in statistics are expanding the rigor, capability, and even purpose of SEM. Guidelines for implementing the expanded capabilities of SEM are currently lacking. In this paper we describe new developments in SEM that we believe constitute a third-generation of the methodology. Most characteristic of this new approach is the generalization of the structural equation model as a causal graph. In this generalization, analyses are based on graph theoretic principles rather than analyses of matrices. Also, new devices such as metamodels and causal diagrams, as well as an increased emphasis on queries and probabilistic reasoning, are now included. Estimation under a graph theory framework permits the use of Bayesian or likelihood methods. The guidelines presented start from a declaration of the goals of the analysis. We then discuss how theory frames the modeling process, requirements for causal interpretation, model specification choices, selection of estimation method, model evaluation options, and use of queries, both to summarize retrospective results and for prospective analyses. The illustrative example presented involves monitoring data from wetlands on Mount Desert Island, home of Acadia National Park. Our presentation walks through the decision process involved in developing and evaluating models, as well as drawing inferences from the resulting prediction equations. In addition to evaluating hypotheses about the connections between human activities and biotic responses, we illustrate how the structural equation (SE) model can be queried to understand how interventions might take advantage of an environmental threshold to limit Typha invasions. The guidelines presented provide for an updated definition of the SEM process that subsumes the historical matrix approach under a graph-theory implementation. The implementation is also designed to permit complex specifications and to be compatible with various estimation methods. Finally, they are meant to foster the use of probabilistic reasoning in both retrospective and prospective considerations of the quantitative implications of the results.

Encyclopedia of Tourism

Abstract: 1. General Issues and Concepts Specific to Tourism: Accommodation, Consumerism, Gambling, Globalization, Policy, Seasonality 2. Definition of Key Terms and Acronyms: Ecoresort, Professional Native, Room Nights 3. Significant Institutions, Associations and Journals: Caribbean Tourism Organization, Centre des Hautes Etudes Touristiques, WTO, Journal of Leisure Research, Journal of Tourism Studies 4. Country Specific Tourism Profiles: Greece, Hungary, Japan, Kenya, Mexico, Peru, Singapore, South Africa 5. Trends and Patterns of Tourism Development and Growth: Community Development, Demography, Ecologically Sustainable Tourism, Forecasting, Zoning 6. Tourism as an Industry with Many Businesses: Adventure Tourism, Business Travel, Convention Bureaux, Hospitality, Marketing, Public Relations