MATH 6344 - Spatial Statistics

Description
An introduction to methods of spatial statistics commonly used in scientific settings. Topics include the nature of geospatial sampling, analysis and modeling of spatial point patterns, and development and analysis of common continuous spatial models such as kriging. Additional topics to be covered, as time and student interest permit, include Bayesian modeling, hierarchical environmental modeling, and spatiotemporal modeling. Use of appropriate software is emphasized.
Credits
3
Attributes
Distance Education COSE
Recent Professors
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Recent Semesters
Spring 2019
Offered
MWF
Avg. Class Size
30
Avg. Sections
1