2022 schedule (tentative – changes coming likely)
| Wk | Class Topics | Reading | Labs/Activities |
| 1 | GIS Intro & Types of data -data vs metadata – spatial data types – attributes |
Syllabus Bolstad Ch 1 Bolstad Ch 2 |
–Exercises 1: Introduction to software and data |
| 2 | -Projections and coordinates -Overlay analysis |
Bolstad Ch 3 & Ch 9, excluding p. 398-404, 420-428 and Ch 7&8 for lab |
–Exercises 2: projections, and tables/attributes —GIS case study; Posted by Friday classtime. |
| 3 | Overlay analysis | Ch 9 as above | Project 1: Mapping Environmental Justice |
| 4 | Digital topography | p. 177 -180 in Ch 4 Ch 11 Terrain Analysis |
Exercises: digital terrain |
| 5 | Location & Distance – Geoprocessing models |
Ch 9 (398-404) Ch 10 (471-475) Ch13 (573-96) |
Exercises: models and suitability |
| 6 | Neighborhood Analyses | Ch 12 (521-529) Ch 10 (445-9, 462-70) Ch 12 (529-41) optional ch 12 p541+ is great for spatial correlation) |
Project 2: Landslide Modeling |
| 7 | Shape, Size & Distribution | TBD | Exercises: digitizing Geology polygons thinking about your Final Project yet? |
| 8 | Bayes Probability Remote sensing: data and instruments |
Ch 6 | Project 3: Inverse landslide prediction |
| 9 | Remote Sensing Image enhancement, ratios and principal components |
Ch 6 | Exercises: QGIS & Landsat exercises Remote Sensing Case Study |
| 10 | Remote Sensing Classification | Image Classification Classification Intro (using ArcMap) An optional thorough explanation |
Lab: Project 4: Project 4 Mapping hot objects using satellite imagery Algorithm for Final Project is due Friday of this week (not perfect, not final, just in, so I can see where you’re heading) |
| 11 | GPS data and technology Map Composition Review |
Lab: GPS demo, then final project work Final Project Data Sources identified and turned in by Friday this week |
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| 12 | Final Project work | Lab: work on final project Friday: present final projects during class 11-12 |
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| Final Exam | during exam week, self scheduled, approx 1 hour exam |