Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for versions prior to Fall 2000.

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Course Descriptions: Search Results

GEO 466  Spatial Data Analysis

Description:
Theory and techniques for statistical analysis of point patterns, spatially continuous data, and data in spatial zones.
Effective Dates:
SS02 - SS04


GEO 866  Spatial Data Analysis

Semester:
Spring of every year
Credits:
Total Credits: 4   Lecture/Recitation/Discussion Hours: 3   Lab Hours: 2
Recommended Background:
(GEO 463 or STT 421 or STT 430) or or equivalent quantitative methods courses
Description:
Theory and techniques for statistical analysis of point patterns, spatially continuous data, and data in spatial zones.
Semester Alias:
GEO 466
Effective Dates:
US04 - US09


GEO 866  Spatial Data Analysis

Semester:
Fall of every year
Credits:
Total Credits: 4   Lecture/Recitation/Discussion Hours: 3   Lab Hours: 2
Recommended Background:
(GEO 363 or STT 421 or STT 430) or equivalent quantitative methods courses.
Description:
Theory and techniques for statistical analysis of point patterns, spatially continuous data, and data in spatial zones.
Semester Alias:
GEO 466
Effective Dates:
SS09 - US17


GEO 866  Spatial Data Analysis

Semester:
Fall of every year
Credits:
Total Credits: 4   Lecture/Recitation/Discussion Hours: 3   Lab Hours: 2
Recommended Background:
(GEO 463 or STT 421 or STT 430) or or equivalent quantitative methods courses
Description:
Theory and techniques for statistical analysis of point patterns, spatially continuous data, and data in spatial zones.
Semester Alias:
GEO 466
Effective Dates:
FS09 - FS09


GEO 866  Spatial Data Analysis

Semester:
Fall of every year
Credits:
Total Credits: 4   Lecture/Recitation/Discussion Hours: 3   Lab Hours: 2
Recommended Background:
(GEO 363 or STT 421 or STT 430) or equivalent quantitative methods courses.
Description:
Theory and techniques for statistical analysis of point patterns, spatially continuous data, and data in spatial zones.
Semester Alias:
GEO 466
Effective Dates:
FS17 - Open