Course Webpage: http://web.pdx.edu/~jduh/courses/geog492w06/index.htm
Lecture: W
17:30-21:10 (CH418) Lab: T 8:00-9:50, 17:10-19:00; F 13:00-14:50 in CH469 (Lab starts on Jan 10!)
Instructor: Geoffrey Duh (jduh@pdx.edu)
Office: CH 424J Ph: 503-725-3159 Office hours: Mon 1-3; Wed 1-2
TA: Jan
Dougall (dougall@pdx.edu)
Course
emailing list: gis2_w6@lists.pdx.edu
Pre-course
survey: Go to the website below and follow the instructions to complete the
questions by Jan 13, 5pm.
Course Objectives
Students will learn how to use GIS to generate information
for spatial-decision making and understand the limitations and pitfalls of
using GIS in spatial analysis. The course includes the theory and methods
involved in spatial analysis, GIS modeling, spatial interpolation, and
geostatistical analysis. The practical component involves the use of
ESRI’s GIS modules, including ArcGIS Spatial Analyst and ArcGIS
Geostatistical Analyst. Both the theoretical and practical components of
the course are important. Without a theoretical understanding you will
likely to misuse GIS methods. Without a practical understanding of GIS software
your theoretical knowledge cannot be put to use. Students will work in groups
on a final project in which they investigate a GIS application in depth based
on the concepts and techniques learned in class.
There is no required textbook
used in class. Instead, students will read articles from peer-review journals.
These articles are available in pdf format in the I:\Students\Instructors\Geoffrey_Duh\GIS2\Readings
folder. There are several other ArcGIS books that will be used for both the theoretical
and practical components of the course. The digital copies of these materials
can be found in several subfolders in the I:\Students\data\GIS\ArcGIS9.1_documentation\ESRI_Library
folder. A complete list of readings is attached at the end of the syllabus.
Grading
The instructor will grade graduate and undergraduate students based on separate distribution curves. The components of a student’s grade are listed in the table below.
|
|
Undergraduates |
Graduate Students |
|
Lab Assignments |
30% |
25% |
|
Midterm |
15% |
15% |
|
Journal Article Review |
NA |
10% |
|
Class Participation |
10% |
10% |
|
Final |
15% |
15% |
|
Project |
30% |
25% |
Attendance to this course is mandatory. If you miss more than two class periods then you will be penalized five percent of your final grade per absence. PLEASE DO NOT MISS CLASS. You are expected to take part in the discussions. If you are repeatedly late you will be given an absence.
Class
Participation (10%) (Click here for quiz questions preparation schedule)
The lecture component of this course consists of discussions of the readings and therefore you should have read the material before class. Students are expected to come to class ready to be active participants in the discussion. To facilitate an interactive discussion each student will prepare a list of 5 quiz questions based on the readings (journal articles only) assigned by the instructor during the term for which they will receive a grade for class participation. Students who are responsible for the week’s quiz questions must emailed the questions and their answers to the instructor every Tuesday by 5pm. These questions will be posted on the course webpage Wednesday before noon and might be used in class as quizzes. It is important that everyone in the class take part in class discussions. Therefore, class attendance and participation are mandatory. If you miss class then you must hand in typed answers to all of the discussion questions for that day.
Exams (30%)
There will be
one in-class, closed-book mid-term exam and one take-home final exam.
Unscheduled in-class quizzes will be administered without notifications.
Results of these quizzes will be counted toward class participation.
Journal Article Report (10% graduate
students only) (Click here for discussion
schedule)
All graduate
students are required to work in small groups (5 students per group) and select
one article to read, review, and report to the class. You may select an article
related to the topics listed at the end of the syllabus, or choose your own
topic - but it must be approved by the instructor and fit with the objectives
of this course. Please follow this
link for the instructions of searching journal articles. The title and a
copy (hardcopy or softcopy) of the select article must be submitted to the
instructor two weeks before the scheduled discussion date. The report should
take the form of a written summary and critique of the article (2 page max.)
and five discussion questions and answers. All students (including
undergraduates) are required to read the articles assigned by other students.
The report must be electronically submitted to the instructor one day before
the scheduled discussion day. The discussion of journal articles will start in
the 4th week (Feb 1). The class will be divided into small
discussion groups each lead by a graduate student.
You will do practical GIS exercises on the computers. If you do not finish the labs during the assigned time periods the lab also has open hours. The practical exercises provide a way to acquire skills using ArcInfo and other GIS software packages and to apply the course concepts to real data. Lab exercises are due by 5pm on the Monday of the beginning of the next exercise. All exercises require a significant amount of time to finish. Make sure you pace your lab exercises appropriately to prevent from turning them in late. Please refer to the course schedule for specific due dates of the exercises.
A group GIS project is required for
all students. Students can form project teams of 2-3
students. The project should investigate a particular research problem using
the GIS software packages that we use in class. You should acquire spatial data
and if necessary digitize the data and the project should involve some types of
spatial analysis. The deliverable is a printed and a digital copy of
Powerpoint presentation that you will present to the class. There are two
stages to the project (the dates they are due are listed on the course
schedule):
Project
proposal: Submit a one page project
proposal. It should include a project title, a research question, a list of the
spatial and attribute databases you will use, and a conceptual description of
the methods you will use. Please make appointments with the instructor to
discuss your proposal if you have any questions.
Oral presentation: The presentation should include the essential
information described in the proposal, data sets used, the analyses performed,
and display the maps and tabular output derived from the analyses.
|
Week |
Case Study |
Technical Topics |
Lab |
|
1 Jan 11 |
Course Overview |
Basic GIS Concepts Review |
· Lab 0: ArcView 3.x to ArcGIS (Optional. Do Lab 0 only if you are unfamiliar with ArcGIS) · Lab 1: Raster Modeling (Due by 5pm Jan 30) |
|
2 Jan 18 |
Site/Suitability Analysis |
ArcGIS Data Models and Formats |
(Lab 1) |
|
3 Jan 25 |
Multi-criteria
Decision Making |
ArcGIS Geodatabase and Topology (ESRI Virtual Campus: Working with Geodatabase Topology) |
|
|
4 Feb 1 |
Dasymetric mapping |
Planning a GIS Project |
· Lab 2: Geodatabase Topology (Due by 5pm Feb 6) |
|
5 Feb 8 |
Emergency Management |
ArcToolBox: Analysis Tools |
· Lab 3-I: ArcGIS ModelBuilder (Due by 5pm Feb 27) |
|
6 Feb 15 |
Spatial Pattern Analysis Mid-term exam |
ArcToolBox: Data Management Tools |
· Lab 3-II (Dasymetric Mapping) |
|
7 Feb 22 |
Statistical GIS Modeling |
ArcToolBox: Spatial Statistics Tools |
· Lab 3-III (Pattern Analysis) |
|
8 Mar 1 |
GIS Simulation: Agent-Based Modeling |
Interpolation and Geostatistics |
· Lab 4: Interpolation and Geostatistical Modelling in ArcGIS (Due by 5pm Mar 13) |
|
9 Mar 8 |
Spatial Optimization Final exam (Final
questions) |
Exploratory Spatial Data Analysis |
(Lab 4) |
|
10 Mar 15 |
Project Presentations |
· Lab 5: Spatial Optimization – Districting (Bonus lab points) |
|
|
Mar 22 |
Project Presentations |
|
|
GIS II Topics and
Journal articles are in
I:\Students\Instructors\Geoffrey_Duh\GIS2\Readings. ArcGIS documentations are in the subfolders of
I:\Students\data\GIS\ArcGIS9.1_documentation\ESRI_Library.
Week 2: Site/Suitability
Analysis
·
Chakraborty, J. and
Armstrong, M.P. (2001). Assessing the impact of airborne toxic release on
populations with special needs. Professional Geographer, 53(1):119-131.
(ChakrabortyArmstrong_2001.pdf)
·
Towers, G. 1997. GIS versus the community:
Siting power in southern
ArcGIS Data Models and Formats:
· Pages 45-61. Getting Started with ArcGIS (ArcGIS_Desktop\ Getting_Started_with_ArcGIS.pdf).
Week 3: Multi-criteria
Decision Making
ArcGIS Geodatabase and Topology
Week 4: Dasymetric mapping
·
Holloway, S. R., Schumacher, J., and Redmond, R.
L. 1997. Dasymetric Mapping Using Arc/Info. Cartographic Design Using ArcView
and ARC/INFO.
Planning a GIS Project
·
Pages 65-107. Getting
Started with ArcGIS
(ArcGIS_Desktop\ Getting_Started_with_ArcGIS.pdf).
Week 5: Hazard/Emergency
Management
· Chen, K., McAneney, J., et al. 2004. Defining area at risk and its effect in catastrophe loss estimation: a dasymetric mapping approach. Applied Geography, 24 (2): 97-117. (Chen_etal_2004.pdf)
· Taylor, B., Skelley, D., et al. 2005. Proximity to pollution sources and risk of amphibian limb malformation. Environmental Health Perspectives, 113 (11): 1497-1501. (Taylor_etal_2005.pdf)
ArcToolBox: Analysis Tools
· Read ArcGIS Desktop Online Help for all tools in the Analysis Tools Toolbox. To read the help of a tool, double-click the tool to open it and click “Show Help >>” button to open the help panel. Select the Help icon on the top of the panel to open the tool’s online help.
Week 6: Spatial Pattern
Analysis
ArcToolBox: Data Management Tools
· Read ArcGIS Desktop Online Help for the generalization and feature toolsets in the Data Management Toolbox
Week 7: Statistical GIS
Modeling
· Milla, K., Thomas, M. H., and Ansine, W. 2005. Evaluating the Effect of Proximity to Hog Farms on Residential Property Values: A GIS-Based Hedonic Price Model Approach. URISA Journal, 17 (1): 27-32. (MillaThomasAnsine_2005.pdf)
· Song, Y. and Knaap, G. 2004. Measuring the effects of mixed land uses on housing values. Regional Science and Urban Economics 34: 663– 680. (SongKnaap_2004.pdf)
ArcToolBox: Spatial Statistics Tools
· Read ArcGIS Desktop Online Help for all tools in the Spatial Statistics Toolbox.
Week 8: GIS Simulation:
Agent-Based Modeling
Interpolation and Geostatistics
· Pages 49-79. Using ArcGIS Geostatisical Analyst (ArcGIS_Extensions \Using_Geostatistical_Analyst.pdf)
Week 9: Spatial Optimization
Exploratory Spatial Data Analysis