GIS Data Visualization
Geography 387

Meeting: TTh 1:30-2:45 in Physical Science Building 310
Instructor: Matthew McGranaghan (PSB 313 956-7092
Office hours: I'm generally around, make an appointment to be sure.

Catalog Description: Display techniques for statistical and terrain data. Cartographic communication models, data models, algorithms, and symbol conventions. Techniques for assessing map design.

Interpretation: GIS, the web, and inexpensive graphics-capable computers have brought rapidly changing ubiquitous animated cartography to the screens of the masses, and cartographic convention can still help! We will consider both digital and graphic representations of spatial (and temporal) data and most particularly transformations from the former to the latter. In this course studio/laboratory exercises using ArcGIS (tracking analyst), Google Earth, HTML, KML, python, awk, HTML5/Canvas, SVG, and some support tools to explore cartographic communication. We'll consider and apply some cartographic design guidlines with these tools to create (better) maps. The focus is on making maps that convey intended meaning (not on GIS analysis, though some of that may come in handy).

Readings: This term there is no required book to buy. Instead, we will use (1) on-line reference materials, (2) a set of short excerpts on specific notions (below), and (3) my bookshelf (see booklist), to consider several views on cartographic design and production.

Grading: Grades will be based on a book report and presentation on one of these books (10%) and completion and class presentation of approximately weekly mapping exercises (together 70%), and a term project (20%). Class participation and engagement are required. Each of these components must be completed to pass the course. The university policy on I-grades will hold. Labs will be graded for demonstrating that you have experimented with and mastered the programs and associated concepts from lecture and reading materials.