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STAT 4760: Introduction to Spatial Data Analysis

(Dual-listed with STAT 5760).
Credits: 3. Contact Hours: Lecture 3.

Prereq: (STAT 3010 or STAT 3260 or STAT 4010 or STAT 5870); (STAT 3410 or STAT 3470 or STAT 4470 or STAT 5880)
The analysis of spatial data; geostatistical methods, mapping and spatial prediction; methods for areal data; models and methods for spatial point processes. Emphasis on application and practical use of spatial statistical analysis. Use of R and R packages for spatial data analysis. Graduation Restriction: Credit for only one of STAT 4060, STAT 4760, or STAT 5760 may be applied to graduation. May not be used for graduate credit in the Statistics MS and PhD degree programs.

The curriculum in liberal arts and sciences with a major in statistics is designed to prepare students for (1) statistics positions in business, industry or commerce, nonprofit institutions, and in state or federal government; and (2) graduate study in statistics. Positions include the following types of work: statistical design, data visualization, analysis and interpretation of experiments and surveys; data processing and analysis using modern computation facilities and statistical computing systems; application of statistical principles and methods in commercial areas such as finance, insurance, industrial research, technology, marketing, manufacturing, sports analytics, quality control, and nonprofit organizations, such as institutions involved in health care or medical research.