Course Descriptions

GEG 230 - Spatial Analysis and GIS

3 Credits

This course introduces students to geospatial analyses that are used for problem-solving and decision-making. Students will learn how to perform these analyses using Geographic Information Systems (GIS) software (i.e. Esri ArcGIS). As a guiding framework, this course shows how GIS is used to answer fundamental questions in geography that are related to problem-solving and decision-making in a wide range of careers and academic disciplines. Students will be introduced to Python and learn a few introductory scripting commands for automating geospatial processes. Upon completion of this course, students will be able to make informed decisions when choosing GIS-based approaches for conducting geospatial analyses, and be able to create basic scripts to automate GIS workflows. This course fulfills the MCC requirement for a natural science elective. Two class hours, two lab hours.

GEG 130 with a grade of C or higher

Course Learning Outcomes
1. Select an appropriate geospatial analytical method to solve a particular problem or make a particular decision.
2. Formulate an appropriate GIS workflow to execute geospatial problem-solving or decision-making.
3. Assess trends in point data (e.g. point density, “hot spots”, geographic center) using GIS.
4. Relate variables to each other to identify relationships between spatial phenomena.
5. Predict the distribution of a geographic phenomenon using GIS.
6. Choose the most appropriate location or locations (e.g. the best place for a business) using various criteria of suitability within a GIS.
7. Construct a geospatial network model with measures of impedance (e.g. speed limit within a streets network) using GIS.
8. Evaluate the most efficient route between locations (e.g. the fastest or shortest) within a network using GIS.
9. Conduct an automated geospatial analysis by integrating programming/ scripting languages with GIS software.

Course Offered Spring only

Use links below to see if this course is offered:
Fall Semester 2017
Intersession 2018
Spring Semester 2018