ENV 4485, GEO 4485, AVS 4485 Introduction to Geographic Information Systems Spring 2024
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Course Syllabus
YEAR COURSE OFFERED: 2024
SEMESTER COURSE OFFERED: Spring
DEPARTMENT: Environmental Science, Geology, Aviation Sciences
COURSE NUMBER: ENV 4485, GEO 4485, AVS 4485
NAME OF COURSE: Introduction to Geographic Information Systems
Course Description
The course covers the use of GIS to acquire primary geographic data, solve geographic problems, automate geographic analysis, and render explanations for geographic patterns and trends. Students will use the latest GIS software and data layers in a lab section.
Learning Objectives
After this course, students will know how to import various geospatial data sources into a GIS and be able to interact and perform basic analysis on this geospatial data. This course will have an applied focus, with hands-on components as part of the classroom and lab exercises.
Required Reading
Mastering ArcGIS Pro, 2nd Edition (2023), by Maribeth Price (McGraw-Hill Education)
Assignments & Exams
Exams Overview
· 10% - Exam (Wednesday, April 3)
Projects Overview
· 25% - Geodatabase Project (due Monday, March 18)
· 25% - Free Choice Project (due Wednesday, May 1)
o Each student will create an online and interactive map application (Story Map, Dashboard, etc.) to share the results of their research.
Participation
· 10% - Weekly Discussion Prompts via Canvas
o Issued each Friday due Mondays at midnight
Lab Assignments
· 30%
Exam – Open book, open notes, open internet, no colluding
Geodatabase Project - Each student will select a college/university in Texas (excluding Baylor University) and must analyze the geographic, environmental, and socioeconomic characteristics of the surrounding area and community.
The surrounding area is defined as the area within a 10-mile, a 5-mile, and a 1-mile radius around the university.
All feature classes and raster datasets in the File Geodatabase must be projected in the appropriate Texas State Plane (feet) zone.
Each student will create a file geodatabase containing the following feature data summarized within both a 5-mile and 1-mile radius:
· Environmental Data
• NOAA Weather Data | August | Average Temperature (°F) (2022)
• NOAA Weather Data | August | Total Precipitation (in) (2022)
· Facilities Data
• TRI (Toxic Release Inventory) facilities
• Water wells
• Public Schools
• Italian restaurants
· Community Data
• Total population (most current ACS 5-year)
• Median household income (most current ACS 5-year)
• % of population who Agrees Completely that Any product that pollutes the environment should be banned (2022 or most current)
• Average household expenses on electricity (2022 or most current)
• % Political Affiliation & Voting: Republicans
· Distance Calculations
• Distance to closest water body (feet)
• Distance to Baylor University (feet)
In the same File Geodatabase, include the following data clipped to 10-mile radius:
· FEMA National Flood Hazards (features only)
· 30-meter Elevation: Clipped from DEM (Digital Elevation Model) or NED (National Elevation Dataset)
· 30-meter DRG (Digital Raster Graphic/Topo)
· Geology Data (from the USGS Geologic Map Database)
· Aerial Imagery:
Deliverables:
Each student will create and submit a .ZIP archive containing the following files:
· File Geodatabase
· Word Document Overview
Free Choice Project
Complete the project of your choice. Ensure you are using a suitable number of data sources.
Deliverables:
· URL to Online Map
· Accompanying description/documentation (short, 1-2 pages)
Weekly Schedule
· The weekly class schedule will be altered to make up for the lost class day. Please note: even though the day after the eclipse, April 9, is a Tuesday, that day will count as an instructional Monday. In other words, students will attend their Monday classes on Tuesday, April 9. Monday classes will meet in lieu of Tuesday classes.
Date |
Lecture Topic |
Lab Assignment |
Due Dates |
||
January |
M |
15 |
MLK Day—No class |
Lab 1: Introduction to GIS |
AGOL accounts issued and lab workstations set up |
W |
17 |
Week 1: Introduction to Course/GIS |
|||
F |
19 |
||||
M |
22 |
Week 2: Vector data in ArcGIS |
Lab 2: Mapping GIS Data |
Lab 1 Due—Jan 23/24 |
|
W |
24 |
||||
F |
26 |
||||
M |
29 |
Week 3: Spatial reference systems |
Lab 3: Presenting GIS Data |
Lab 2 Due—Jan 30/31 |
|
W |
31 |
||||
February |
F |
2 |
|||
M |
5 |
Week 4: Geodatabase, tabular joins, buffers |
Lab 4: Coordinate systems |
Lab 3 Due—Feb 6/7 |
|
W |
7 |
||||
F |
9 |
||||
M |
12 |
Week 5: Spatial joins, feature datasets |
Lab 5: Managing vector data |
Lab 4 Due—Feb 13/14 |
|
W |
14 |
||||
F |
16 |
||||
M |
19 |
Week 6: Raster Data and Raster Functions |
Lab 6: Managing raster data |
Lab 5 Due—Feb 20/21 |
|
W |
21 |
||||
F |
23 |
||||
M |
26 |
Week 7: Close Out Geodatabase Project/ Geodatabase review and check-in |
Lab 7: Attribute Data |
Lab 6 Due—Feb 27/28 |
|
W |
28 |
||||
March |
F |
1 |
|||
M |
4 |
Week 8: Spring Break March 2-10—No class |
Spring Break—No labs |
||
W |
6 |
||||
F |
8 |
||||
M |
11 |
Week 9: Spatial analysis: Quantitative analysis of spatial patterns (clustering, density, etc.) |
Lab 8: Editing |
Lab 7 Due—March 12/13 |
|
W |
13 |
||||
F |
15 |
||||
M |
18 |
Week 10: Web mapping: ArcGIS Online & StoryMaps |
Lab 9: Queries |
Monday, March 18: Geodatabase Project Due Lab 8 Due—March 19/20 |
|
W |
20 |
||||
F |
22 |
||||
M |
25 |
Week 11: Web mapping: Tableau Public |
Labs 10: Spatial Joins and Overlays |
Lab 9 Due—March 26/27 |
|
W |
27 |
||||
F |
29 |
Easter—No class |
|||
April |
M |
1 |
Easter—No class |
Labs 11 & 12: Raster Analysis and Model Builder |
Wednesday, April 3: Exam Lab 10 Due—April 2/3 |
W |
3 |
Week 12: Data interacting with each other: Vector site selection |
|||
F |
5 |
||||
M |
8 |
Diadeloso/Total Eclipse—No class |
Open lab—work on final projects |
Labs 11 & 12 Due—April 9/10 |
|
W |
10 |
Week 13: Data interacting with each other: Raster suitability analysis |
|||
F |
12 |
||||
M |
15 |
Week 14: Free choice project: Introduction to project |
Open lab—work on final projects |
|
|
W |
17 |
||||
F |
19 |
||||
M |
22 |
Week 15: Free choice project: Lectures open sessions to work on projects |
Open lab—work on final projects |
|
|
W |
24 |
||||
F |
26 |
||||
M |
29 |
Week 16: Free choice project: Lectures open sessions to work on projects |
Open lab—work on final projects |
Wednesday, May 1: Free Choice Project Documentation Due at Midnight --- Sunday, May 5: Free Choice Project Due at Midnight |
|
May |
W |
1 |
|||
F |
3 |
Baylor study day—no classes |
|||
Finals Week May 4 - 9, 2024 |
|||||
Pose Critical Questions to 3 Peers |
Monday, May 6 |
||||
Respond to Critical Questions |
Tuesday, May 7 |
||||
Final Scheduled for Wed, May 8th 4:30 p.m. - 6:30 p.m. |
Wednesday, May 8: Presentations of Free Choice Projects OR Individual Meetings with Instructors |
Attendance Policy
· Attendance will be taken at every Lecture.
· Students are permitted 10 excused absences. More than 10 absences will result in a grade of F.
o NOTE: THE UNIVERSITY ATTENDANCE POLICY STATES: "If a varsity student-athlete is required to participate in an official athletic competition and must miss class in order to participate (or travel to participate) in that competition, this absence is ordinarily considered to be excused and should not be counted against the student-athlete in the context of an applicable attendance policy. Moreover, provided that the student-athlete seeks to make arrangements prior to the absence to complete scheduled assignments, the faculty member will work with the student to allow for the completion of missed classwork and assignments."
2024-03-04