Due Dates (excluding labs)
Rough lecture outlines
- Week 1:
- Week 2:
- 3 April: lecture, Went through parts of gis exam. GPS lecture
- 5 April. Lab 1. Lecture on data quality.
- Week 3:
- 10 April. lab 2. Qatar video
- 12 April. Guest Speaker. Danielle Munzig. Former REM Student. Now with the WA DNR as a Wildlife Biologist.
- Week 4:
- 17 April. Scale of measurement, raster data/analysis. And much coolness. Then onto site selection example using raster data and weighted overlay. Lab three assigned.
- 19 April. Guest Speaker. Jamie Cannon. USFS.
- Week 5:
- Week 6:
- 1 May: Interpolation lecture (no ppt, but a few articles are on the data drive in the class folder). Lab time.
- 3 May: Lab time.
- Week 7
- 8 May: Lab time
- 10 May: 9:00. Guest Speaker, Greta Smith, USFS.
- Week 8:
- 15 May: Lectures on Networking and the History of GIS.
- 17 May: No class. SOURCE. See the lab below.
- Week 9
- 22 May. Richard Diaz. GIS Analyst, Dept Public works, JBLM. Inner workings of a military base for a gis analyst
- 24 May: Discussion re presentations (and a little humor)
- Week 10:
- 29 May: No class. Memorial Day.
- 31 May: in-class Poster Session
- Week 11:
- Tuesday, 6 June. 8-10 AM. 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: Coming soon as soon as I can get good instructions on how to give you permission..... 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.
- 3D visualization techniques using ArcGIS (due friday 7 March)
- 3D analysis of surfaces and features using ArcGIS
- Creating 3D data using ArcGIS
- Introduction to editing parcels
- Managing parcel data 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 tuesday, 11 March.
- Lab 2: GPS 2. Due friday, 14 March
- Lab 3: raster site selection. Due Monday, 1 May. 6 points.
- Lab 4: to be done on Wed or thursday, 17/18 May. These days are SOURCE. Instead of class, your job is to attend a total of at least three talks/posters. Pick three which include maps of some sort (and preferably some sort of map analysis). At least one must be a presentation, at least one must be a poster. For each, take notes, etc and hand in a 1 page writeup for each talk/poster. Include the following for each one:
- The title and author of the talk.
- A one paragraph summary of the research project.
- A sentence or two explaining how this presentation relates to mapping.
- A short critique of the maps and spatial analysis which were presented. (1-2 paragraphs)
- One paragraph or so explaining what you liked, didn’t like, etc. Note: I really don’t care whether you like it or not, what I am interested in is the WHY. Very similar to the readings you do every week. I highly suggest you spend some quality time at SOURCE checking out what other students are doing. Then do the writeup on the three you find most interesting.
- This will be worth 3 points. Due on the Monday following the presentations.
Project 1: Zombies, Superheros, and stuff
Project 2: The Big Research Project
Useful job seeker info
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