title>Geog387 GIS Visualization Syllabus

GIS Data Visualization
Geography 387
(Tentative) Syllabus for Fall 2014

NB. I/we need to re-think this to get up and going with Tracking Analyst sooner, so that we can move on with KML, python for reformatting data, SVG and JavaScript with time to use them.

The table below lists a previous semester's topics and assignments (approximately) by week.

Week Topic, Readings and Assignments
1 Introduction to GIS Visualization & Cartographic Method
Read: Slocum ch 1, 2, & 3; Wikipedia: "Scientific Visualization" and "Geovisualization"; Brewer DBM ch 1; Robinson Forward, I, II

Lab: Websites established.
2 Getting started using a GIS
Lab: ArcGIS Overview; Basic use of ArcGIS; Export map images. Make, export and post maps on your website.
3 GIS & Conceptual Data modelling
Read: Slocum ch 4, 5, & 6
Lab: ArcGIS Overview; Basic use of ArcGIS; Export map images. Transforming models.
4 Maps for Web and Projection Presentation
Read: Slocum ch 24, skim ch 6, 7, 8, 9
Lab: Can one design work on screen and projector? (link)
5 Symbology: Type
Read: Robinson IV, V, VI; Brewer ch 2 & 3
Lab: Focus on Type. (link)
6 Symbology: Color in Choropleth and Dasymetric Maps
Read: Slocum ch 14, 15; Brewer 4 & 5
Lab: Experimenting with color symbols. (link)
7 Interactivity (reconsidering GIS and Alice Through the Looking Glass?)
Read: Slocum ch 22, 24
Lab: Basic Online Clickable Map.
8 Symbology: Time and Animation with tracking analyst
Read: Slocum ch 21
Lab: buoys oil or critters moving. tracking analyst
9 Mid-term exam (around here)
10 Considering Google Earth: what is it? how does it work? can I bend it to my will?
Read: Slocum ch 24, 25, 26; kml documentation; Sheppard and Cizek (2009) "The ethics of Google Earth: Crossing thresholds from spatial data to landscape visualisation", Journal of Environmental Management 90, 2102-2117.
Lab: Post map image in Google earth
11 Google Earth, scene graphs, and vector data
Term project idea due: 1 page outlining the question or problem, the data, and a sketch of the visualization(s) you intend to produce.
Lab: Post vector map data in Google earth
12 Graphic Limits, the Web and Cartographic Design; How to Assess what we see?
Read: McKendry & Machlis (2008) "Cartographic design and the quality of climate change maps", Climate Change , v. 95, n. 1&2, pp 219-230.
13 Sticky situations: Symbology: Multivariate situations (including uncertainty). What to make of them?.
Read: Slocum ch 18, 23
Lab: How much is enough or too much. How much can you show?
14 Catching up with the future.
Read: Peterson (2014)
15 Student Presentations
Read: t.b.a.
16 Student Presentations
Read: t.b.a.
Final As per university schedule.