GIS 102 - Geographic Information Systems II

Credits: 3

Continues the examination of GIS concepts and fundamentals. Applies concepts from GIS 101 in the context of solving spatial problems. Reinforces concepts and techniques needed in a wide variety of fields to be able to work with GIS based technology. Develops the skills needed to apply GIS knowledge to everyday life and their chosen careers.

Prerequisite(s): READING LEVEL 3 and WRITING LEVEL 2 and MATH LEVEL 2 and GIS 101 with a minimum grade of “C” (2.0) or equivalent skills
Corequisite(s): None
Lecture Hours: 45 Lab Hours: 0
Meets MTA Requirement: Natural Science
Pass/NoCredit: Yes

Outcomes and Objectives

Demonstrate a deeper understanding of data and spatial analysis concepts.
1. Explain data types in spatial analysis.
2. Explain methods of spatial analysis, including analysis of point patterns, surface and areal analysis.
3. Discuss appropriate and standard methods of displaying data in visual representations
Demonstrate expertise with vector and raster data.
1. Identify the advantages and disadvantages of vector and raster data
2. Be able to choose the appropriate data type for analysis in vector and raster data
3. Convert between data types
Use analytical, spatial, and statistical GIS tools to create maps that present information or solve a spatial problem
1. Map categories, quantities, and classes
2. Map density and change
3. Create overlays of analysis, buffering, clipping, and network analysis
4. Measuring geographic distribution, analyze patterns, and identify clusters
Create a simple suitability model using Model Builder.
1. Create, modify and run a spatial model for a geographic area.
2. Understand the applications of Model Builder for real world problem solving.
Complete a chosen project and apply GIS 101 and GIS 102 outcomes to the project as the course proceeds. (Projects may be chosen from many topics appropriate for GIS analysis. Examples of such projects are: coastal zone management, hazardous materials management, environmental planning, urban planning, site assessment, geography, biology, sociology, demography, statistics, or other topics as determined by student interest and Faculty abilities.)
1. Develop a spatial analysis model based on the chosen research project topic.
2. Identify and collect appropriate data to use in analysis.
3. Use applicable techniques to analyze the data and satisfy goals of project.
4. Provide written documentation of the steps taken to accomplish goals of research project in the form of a technical report.
5. Present the map as a visual, final outcome.