Detailed Course Information |
Spring 2015
Apr 15, 2024 |
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| PHP 2604 - Statistical Methods for Spatial Data |
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This course covers a variety of topics for spatial data, including data visualization, Bayesian hierarchical models, spatial models, as well as the computation techniques and statistical software to implement these models. Examples of applications will include, but are not limited to, spatial modeling of data from epidemiology, environmental studies and social sciences. Prerequisites: APMA 1650-1660 or PHP 2510-2511, and MATH 0520; some experience with scientific computing.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Public Health Department Prerequisites: ( (Undergraduate level APMA 1650 Minimum Grade of S and Undergraduate level APMA 1660 Minimum Grade of S) or (Graduate level PHP 2510 Minimum Grade of S and Graduate level PHP 2511 Minimum Grade of S) ) and Undergraduate level MATH 0520 Minimum Grade of S |
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