MATH 3410 - Applied Spatial Statistics

Institution:

Southern Utah University

Subject:

Mathematics

Description:

An introduction to analyzing spatial patterns, modeling relationships, and interpolation and prediction for spatial data structures. Topics covered include spatial data exploration and visualization, spatial autocorrelation with Moran's I, hot-spot analysis, point process analysis, geographically weighted regression, spatial autoregressive models, nearest neighbor distances, semivariograms, and Kriging. Students will use a statistical programming language (e. g., R or Python) throughout the course. (Fall - Odd Years) [Graded Letter] Prerequisite(s):MATH 1040 or MATH 1190 or MATH 3700 and MATH 1050 or MATH 1100 or MATH 1210 - Prerequisite(s) Min. Grade: C

Credits:

3.00

Credit Hours:

Prerequisites:

MATH 1040 O MATH 1190 O MATH 3700 A MATH 1050 O MATH 1100 O MATH 1210

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.suu.edu/

Phone Number:

(435) 586-7700

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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