University at Buffalo 3 credits Geography
In recent years considerable amounts of advances have been made in Geographical Information System (GIS) and Remote Sensing (RS), although the potential of GIS and RS within the environmental sciences is limited by uncertainty, particularly, in connection with data sets and methods used. This course will introduce statistical methods for spatial data analysis and uncertainty modeling relevant to broad disciplines including geography, geology, environmental studies, civil & environmental engineering, and planning. General overviews on statistical methods for spatial data fusion and uncertainty modeling will be presented along with hand-on exercises using R software. Students are more than welcome to bring their own data and research problems.
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