GIS 435: Statistics and Spatial Data Management is a two part course that starts with a review of essential statistical techniques and secondly focuses on statistical approaches used in spatial analyses. Emphasis will be placed on integrating practical examples into course exercises and projects. Basic statistical concepts of exploring data, probability distributions, hypothesis testing, one sample, two sample tests, regression, ANOVA, and model building will be addressed using real data and a variety of computer software. Students will explore geostatistical functions such as interpolation, point pattern analysis, kernel density estimation, kriging and trend surface analysis in the second part of the course.
Prerequisites: Acceptance to ADGIS Program/ Bachelor Degree
Corequisite: GIS 302, 303, 310, and 318
Accessibility Services Notice
standard statementCourse Details| Total number of weeks | 15 |
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| Total Credits | |
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| Total Hours | 45 |
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Typical hours per week breakdown| Lecture | 3 |
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Outcomes
Upon successful completion of this course, the learner will be able to:
- recognize different data types, scales, and distributions;
- identify the appropriate statistical test to use for a given situation;
- understand the concept of data variability and how this is central to the use of statistics;
- manipulate datasets in different software programs enabling error checking and outlier identification;
- develop and use scripts to complete data exploration and analysis;
- produce professional quality reports that answer real statistical questions, highlighting the students’ statistical knowledge; and
- understand geostatistical concepts, positional uncertainty of point samples and spatial analysis.
Grading Table
Academic and Career
See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.
Disclaimer
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