1:30-2:45PM -- Tuesday and Thursday -- NF B27
Goals / Texts / Exams / Assignments / Practicums / Project / Grading / Readings / Office Hours
Course Goals:GIS Mapping in Anthropology is an introductory course in the use of Geographic Information Systems (GIS). My goal is to provide students with a basic understanding of the theories, software, and data used by GIS professionals. As this is an anthropology course, particular emphasis will be devoted to developing analysis skills relevant to problem solving within this field. However, the general nature of the course will make it applicable to other social and natural science majors. A successful student will acquire sufficient knowledge to utilize GIS software, obtain and create GIS data, and evaluate the presentation of GIS research.
Other readings will be available on-line. (Such readings will be supplemental and listed below or announced in class.)
- Introduction to Geographic Information Systems by Kang-tsung Chang. McGraw-Hill Companies, Inc. ISBN 0-07-238211-2. Includes a 120 day trial of ESRI Software's ArcView 3.2 for Windows.
There will not be any formal, in-class exams. Grades will be based on take home assignments, in class practicums, and a final project.
There will be one unscheduled quiz consisting of one question that will be given at some random time during the semester (10 pts). It will not count towards the final total possible points, but will be added as a bonus to your total as an adjustment for "borderline" grades.
Periodic assignments are listed below in the Weekly Readings section. Each has a specific due date. Late assignments will result in a 10% reduction in points, per week. (100 points)
Virtually every Thursday a portion of the class time will be devoted to practical, hands-on use of ArcView. This will serve as the "lab time" for the course. Appropriate proof that the day's exercise has been successfully completed will be turned in at the end of the class. Students unable to complete the work in class must obtain the assignment and turn in the results by the next Tuesday class session. Extensions beyond this deadline must be approved prior to the Thursday practicum. (100 points)
Each student will develop a small "research assignment" which can completed using ArcView 3.2. Each student will meet with the instructor to develop a project that meets the limitations of the software and general scope of the course. An effort will be made to match the student's area of interest with project's topic. The project will produce a 10-20 page paper on the methodology and results of the work. Each student will also present their results to the class at the end of the semester. Further details on this assignment will be provided in class or in WebCT. (200 points)
You will be graded on a 400 point scale. The grade scale will be: A=400-360; B=359-320; C=319-280; D=279-240; and F=239-0. The total points earned from your assignments, practicums, project, and your score on the unscheduled quiz will be added together to determine your final grade.
What is a GIS?
Chang: Chapt. 1
Spatial data concepts, map and data models, map scale
Exploring GIS data models.
ArcGIS Online Help
Chang: Chapts. 3, 7 Week 3
Map projection and coordinate systems
Spatial data projection / coordinate transformation
Chang: Chapt. 2 Week 4
Basic cartographic design and map presentation
Symbolize, classify, and label spatial data
Chang: Chapt. 8 Week 5
GIS project and flowcharting. GIS database creation
Collect and convert GIS data into ArcView databases
Chang: Chapt. 4 Week 6
GPS basics and data gathering
- Week 7
GIS data creation and editing
Editor basics and feature creation
Chang: Chapt. 5 Week 8
Geocoding as a data input method
Spring Break - No Class Week 10
Editing existing features and attribute data
Spatial feature and table editing
Chang: Chapt. 6 Week 11
Join attribute tables. Graphing and reporting
Selecting features by attribute. Linking attribute tables
Chang: Chapt. 9 Week 12
Attribute query and spatial query
Select by location combined with select by attributes
Chang: Chapt. 9 Week 13
Spatial operations for data preparation
Dissolving features, merging datasets, clipping layers
Chang: Chapt. 5 Week 14
Spatial analysis: proximity and overlay
Feature buffering. Feature overlay. Post-overlay analysis
Chang: Chapt. 10 Week 15
Final Projects Due
Tuesdays and Thursdays 3:00-4:30PM Other Times By Appointment
KT 204S : 260-481-6676
Return to Instructor's Home Page