Rough lecture outlines
- Week 1:
- 26 March - no class.
- 28 March : Went over syllabus and projects. Introduced CS for GIS. (be sure you're familiar with this)
- Week 2:
- 2 April: Projections etc review. Research question due (1 point.)
- 4 April . some lab time. Discussed projects.
- Week 3:
- 9 April . Lecture on site selection and multi-criteria analysis.
- 11 April . Lecture on data quality.
- Week 4:
- 16 April.
- Draft proposal due (3 points).
- GIS in Qatar vid
- Went over labs and readings.
- 18 April (note, class starts at 9AM, not 8 today)
- Guest Lecturer at 10AM. Jamie Cannon
- Lab O'Evil
- Week 5:
- 23 April . DTM/ RUSLE lecture.
- 25 April : interpolation lecture.
- Week 6:
- 30 April : Methods flowchart due (3 points).
- 2 May: (note, class starts at 9AM, not 8 today)
- Guest speaker at 10AM: Danielle Munzig
- Week 7
- Week 8:
- 14 May: show me your data and an updated flowchart due (3 points). Lecture on networking.
- 16 May. Lab day
- Week 9
- 21 May. (note, class starts at 9AM, not 8 today)
- First draft due (4 points)
- Guest Speaker. Richard Diaz at 10AM
- 23 May. Discussion re presentations (and a little humor)
- Week 10:
- 28 May - no class, Memorial Day Nov:
- 30 May: Poster presentations!
- 1 June (freiday) - final paper due
- Week 11
- Tuesday, 5 June. 8-10AM. This will be VERY comprehensive.
A good bit of the information covered in this class was taken from the
NCGIA Core Curriculum in GIScience (both the original and newer web version).
For a lot of good info, goto the Core Curriculum.
ESRI online classes: OK. You should have all received an email from ESRI to your CWU account. Follow the instructions in setting up an ESRI account (free). Once you do this, you should be able to get to the training page - where you can search on the first couple of words of the below courses. I found every one on 3/28/18). There will be 9 over the quarter, one due each friday starting week 2. Do the class, then the exam. To get full credit, you will need to get a 90% or better on the exam. Hand in - print an esri screen which shows your name, class name, and grade. And if you print a page with multiple grades, be sure to circle the one you are handing in. They will be due every friday, starting in week 2.
- 3D visualization techniques using ArcGIS
- 3D analysis of surfaces and features using ArcGIS
- Creating 3D data using ArcGIS
- Editing in ArcGIS Desktop
- Calculating Density Using ArcGIS
- Getting started with Geodatabase Topology
- Regression analysis using ArcGIS
- Exploring Market Areas using Business Analyst online
- Depending on your python skills, your choice of:
- Basics of Python
- Python scripting for geoprocessing workflows
- creating python scripts for raster analysis
NOTE: if you want more resources, Penn State has a ton of free online classes (or at least class material). For example, a followup to the ESRI Python classes can be found here.
- Lab 1: GPS. Due Monday,
- Lab 2: GPS. Due Friday
- Lab 3: Raster site selection. Due Friday, 20 April.
- Lab O'Evil. Due the next tuesday. 3 points.
- Lab 4: Erosion modeling. Due
- Lab 5: Network Analysis
The Big Research Project
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