GIS 435 Statistics and Spatial Data Management

School of Environment and Geomatics

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

Crosslisted: None

Accessibility Services Notice

Students who would like an academic accommodation and who have a documented disability should contact Accessibility Services, if they have not already done so.

Transfer Agreements

Course to Course transfer – NoBlock Transfer – Nobctransferguide.ca
Course Details
Total number of weeks15
Total Credits3.00
Total Hours45
Typical hours per week breakdown
Lecture3

Learning Outcomes

Upon successful completion of this course, the learner will be able to:

  1. recognize different data types, scales, and distributions;
  2. identify the appropriate statistical test to use for a given situation;
  3. understand the concept of data variability and how this is central to the use of statistics;
  4. manipulate datasets in different software programs enabling error checking and outlier identification;
  5. develop and use scripts to complete data exploration and analysis;
  6. produce professional quality reports that answer real statistical questions, highlighting the students’ statistical knowledge; and
  7. understand geostatistical concepts, positional uncertainty of point samples and spatial analysis.

Grading Table

Percentage Letter Grade GPA
90-100 A+ 4.33
85-89 A 4.00
80-84 A- 3.67
76-79 B+ 3.33
72-75 B 3.00
68-71 B- 2.67
64-67 C+ 2.33
60-63 C 2.00
55-59 C- 1.67
50-54 P 1.00
0-49 F 0.00
  DNW 0.00

See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.

Disclaimer

Information contained in this course outline is correct at the time of publication. Content of the course is revised on an ongoing basis to ensure relevance to changing educational, employment and market needs. The instructor will endeavor to provide notice of changes to students as soon as possible. The instructor reserves the right to add or delete material from courses.