A
Andreas Muhar
Researcher at University of Natural Resources and Life Sciences, Vienna
Publications - 80
Citations - 3112
Andreas Muhar is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Recreation & Tourism. The author has an hindex of 22, co-authored 78 publications receiving 2619 citations. Previous affiliations of Andreas Muhar include Stellenbosch University & Simon Fraser University.
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A model integrating social-cultural concepts of nature into frameworks of interaction between social and natural systems
Andreas Muhar,Christopher M. Raymond,Riyan J. G. van den Born,Nicole Bauer,Kerstin Böck,Michael Braito,Arjen Buijs,Courtney G. Flint,Wouter T. de Groot,Christopher D. Ives,Tamara Mitrofanenko,Tobias Plieninger,Catherine M. Tucker,Carena J. van Riper +13 more
TL;DR: In this article, the authors highlight the relevance of individual and collective understandings of the human-nature relationship as influencing factors for environmental behavior, which may be reflected in natural resource management conflicts, and review the diversity of existing social-cultural concepts, frameworks and associated research methods.
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The role of computer visualization in the communication of urban design—A comparison of viewer responses to visualizations versus on-site visits
Nathalie Wergles,Andreas Muhar +1 more
TL;DR: Investigation of the remodelling of a large urban square in Vienna, Austria finds that visualizations were superior in communicating some aspects of the design in virtue of their ability to direct attention to centred or foreground pictorial elements.
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Optimization of scale and parametrization for terrain segmentation: An application to soil-landscape modeling
TL;DR: In this article, the authors presented a procedure to optimize parametrization and scale for terrain-based environmental modeling, exemplified on crop yield data, which is assumed to represent a proxy for soil productivity.
Journal Article
An overview of remote sensing and GIS for surveillance of mosquito vector habitats and risk assessment.
TL;DR: This paper provides a brief nontechnical overview of the use of remote sensing to achieve multiple objectives, focusing on mosquito management, and shows how Geographic Information Systems, combined with remote sensing analysis, have the potential to assist in minimizing disease risk.
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Integration of bio-physical and economic models to analyze management intensity and landscape structure effects at farm and landscape level
TL;DR: In this article, an integrated spatially explicit land use modeling framework was developed to analyze the cost-effectiveness of selected agri-environmental program (AEP) measures.