GIS-245 Applications in Geographic Information Systems

Geographic Information Systems are critical to understanding environmental change and restoration. Building on the fundamentals learned in Introduction to GIS, this course teaches data analysis, presentation and data management skills, and field mapping skills. Students will use conservation-based examples to construct and display maps that are useful in environmental decision making.

Credits

3

Prerequisite

CON-241

Lecture Contact Hours

2

Lab Contact Hours

2

Other Contact Hours

0

Department

• Environmental Conservation and Horticulture

Grading Scheme

• Letter

SUNY Gen Ed Credit

• No

Semesters Course Will Be Offered

• Spring

Course Learning Outcomes

1. Analyze spatial and temporal environmental data.
2. Create and present maps showing spatial environmental data that clearly communicate results in a way that shows knowledge of industry standards.
3. Practice field collection and interpretation of spatial data including project planning; and data collection, management and presentation.

View Course Outline

GIS 245: Applications in Geographic Information Systems

Department

Environmental Conservation and Horticulture

Course Description

Geographic Information Systems are critical to understanding environmental change and restoration. Building on the fundamentals learned in Introduction to GIS, this course teaches data analysis, presentation and data management skills, and field mapping skills. Students will use conservation-based examples to construct and display maps that are useful in environmental decision making.

Credit Hours

3

Contact Hours

Lecture	2
Lab	2
Other	0

Grading Scheme

Letter

Semester(s) Course Will Be Offered

Spring

Prerequisites

CON-241

Course Learning Outcomes

1. Analyze spatial and temporal environmental data.
2. Create and present maps showing spatial environmental data that clearly communicate results in a way that shows knowledge of industry standards.
3. Practice field collection and interpretation of spatial data including project planning; and data collection, management and presentation.