Amin Tayyebi

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Urbanization has increased heat in the urban environment, with many consequences for human health and well-being. Managing climate change in part through increasing vegetation is desired by many cities to mitigate current and future heat related issues. However, little information is available on what influences the current effectiveness and availability of(More)
Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS Amin Tayyebi, Phillips Christian Perry & Amir Hossein Tayyebi a University of Wisconsin-Madison, Wisconsin Energy Institute, Madison, WI, USA b Department of Natural Resources, New York Cooperative Fish and Wildlife(More)
Automatic and interactive data analysis is instrumental in making use of increasing amounts of complex data. Owing to novel sensor modalities, analysis of data generated in professional team sport leagues such as soccer, baseball, and basketball has recently become of concern, with potentially high commercial and research interest. The analysis of team ball(More)
SUMMARY The vagueness of multi criteria decision making (MCDM) is commonly handled through fuzzy sets theory, by assigning degree of membership. However, the spatial MCDM (SMCDM) problem encounters ambiguity in assigning the membership function to fuzzy pairwise comparisons, which is referred to as non-specificity.This paper attempts to reach a new method(More)