GEOG 417

Advanced GIS

Syllabus

Rough lecture outlines

• Week 1:
  • 25 March - no class.
  • 27 March : Went over syllabus and projects. Introduced CS for GIS. (be sure you're familiar with this)
    • Y'all need to know about significant figures. Watch this (all 5 parts). Seriously, your labs, etc will be graded assuming you know about significant figures.
    • GPS lecture
• Week 2:
  • 1 April:
    • review questions. labs.
  • 3 April . Projections etc review.
• Week 3:
  • 8 April. site selection and Multi criteria analysis
  • 10 April . Data quality lecture
• Week 4:
  • 15 April. Lab day
  • 17 April. Qatar Video
• Week 5:
  • 22 April . Lab day
  • 24 April : Interpolation lecture. Reassigned lab 3.
• Week 6:
  • 29 April : Guest speaker - Jeff Watson.
  • 1 May: DEM and RUSLE lecture. Lab o'Evil
• Week 7
  • 6 May: Geospatial competency model. GIS Jobs. URISA code of ethics
  • 8 May: Oz lecture
• Week 8:
  • 13 May:
    • Guest speaker - Jamie Cannon
  • 15 May. SOURCE day
• Week 9
  • 20 May.
    • Networking lecture.
    • Discussion re presentations (and a little humor)
      • Posters (and powerpoint....).
      • Colin, GMU, gar reynolds,
      • Impotence, hitler, cats, GIYes, data, mind
      • And the video on automation.
  • 22 May. No class. Many of us at WAURISA
• Week 10:
  • 27 May - no class, Memorial Day Nov:
  • 29 May: Story Map presentations!
• Week 11
  • Tuesday, 4 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. By now, you should all have an esri account. If not, see me. Log in and head to Support and Services - training. Then search courses. You should be able to find all of the below with a quick search. 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. The goal here is to quickly introduce you to a few topics we simply don't have time to get to in the GIS classes we offer. Note, some run in ArcGIS, others in Pro. Pay attention.

1. Getting Started with Story Maps (this is the official lesson), then watch Story Maps: Tips and Tricks (a 1 hour vid).  Note, you’ll need this info for your project this quarter. There is no associated exam, so just give me a 1 page overview/evaluation of what you learned going through these, liked, didn't like, why, etc.
2. 3D visualization techniques using ArcGIS OR 3D visualization techniques using ArcGIS Pro. Note, the next two 3D courses use old ArcGIS.
3. 3D analysis of surfaces and features using ArcGIS
4. Creating 3D data using ArcGIS
5. Creating and editing metadata in ArcGIS
6. Getting started with Geodatabase Topology
7. Calculating Density Using ArcGIS
8. Distance Analysis using ArcGIS OR Distance analysis using ArcGIS Pro
9. EITHER
• Regression analysis using ArcGIS or Introduction to Regression analysis using ArcGIS Pro OR
• Analyze markets using arcgis business analyst

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.

Labs:

• Lab 1: GPS. Due friday, 5 April, 3 points
• Lab 2: GPS. Due Tuesday, 9 april, 3 points
• Lab 3: Raster site selection. Due Monday, 22 April. 5 points
• Lab O'Evil. Due the next tuesday. 3 points.
• Lab 5: SOURCE: to be done on Wed or thursday, 15/16 May. 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:
  1. The title and author of the talk.
  2. A one paragraph summary of the research project.
  3. A sentence or two explaining how this presentation relates to mapping.
  4. A short critique of the maps and spatial analysis which were presented. (1-2 paragraphs)
  5. 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.
  6. This will be worth 3 points.  Due on friday the 17th..
• Lab 5: Network Analysis. This will involve working through the following ESRI classes and taking the quiz. Turn in your quiz results as usual - simplest would be to print your total transcript and circle these 4 so I know what I'm looking for. Grading as usual. 3 points. Due Friday, 24 May
  • Preparing for Network Analysis
  • Creating Omptimized routes using ArcGIS Pro
  • Creating an Oigin-destination cost matrix in ArcGIS Pro
  • Finding the closest facilities using ArcGIS Pro
    

The Big Research Project

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