ENEN 658 - Modeling and Spatial Statistics with Applications in the Urban Environment

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The goal of this course is to provide students with knowledge of mathematical models for the urban environment from various disciplinary perspectives, and how such models might be coupled to address urban water problems. Simple models from the fields of environmental contaminant transport, economics, and ecology will be used as examples. Material covered will include time series analysis and geostatistical analysis of spatially distributed data in the physical, biological, and social sciences. The course will highlight challenges of the interdisciplinary perspective, including (1) space and time scales of concern to different disciplines; (2) issues with uncertainty in data and models; and (3) examples of models that are available to the different disciplines. The course will include hands-on exercises and the challenge for students to combine models from different disciplines.