GEOG 492/592 (USP 592): GIS II –
Applications
CRN: 61413/61440, 4 credits
Course Webpage: http://web.pdx.edu/~jduh/courses/geog492s07/
Instructor: Geoffrey Duh (jduh@pdx.edu)
Office:
CH 424J Ph: 503-725-3159 Office hours: Mon 1-3; Wed 1-2
TA: Wayne Coffey (waynec@pdx.edu)
Office hours: by email appointments (Be
descriptive of your email subject line to get prompt response).
Lecture: Tue Thu 18:00-19:50, CH413
Lab: Mon 10:15-12:05, Tue 14:00-15:50, Wed 16:00-17:50 in
CH469
Course
emailing list: gis2@lists.pdx.edu
Pre-course
survey: Go to the website below and follow the instructions to complete the
questions by noon on April 5.
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. Students will work in groups or individually 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\ArcGIS
Documentation\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.
Summary of Deliverables
|
Submitted individually: |
|
1. List of 4 quiz questions and answers from the readings for each week the student signs up - due by Monday at 5 PM. |
|
2. If miss a class, prepare answers to questions from class before or right after. |
|
3. Mid-Term on May 3 (in class closed book) |
|
4. Take-home Final Exam due – June 12 |
|
5. Lab's Due at 5:00 PM on the following dates: |
|
Apr 23, Apr 30, May 7, May 14, May 21, Jun 4 |
|
Submitted as a group (or individually if doing the
project alone): |
|
1. Choose Journal Article that is approved. The title and a copy of the article need to be submitted to the instructor by noon April 27. (Graduate students only) |
|
2. Journal Article Review 2 page max summary and 4 discussion questions and their answers (submitted one day before the discussion). (Graduate students only) |
|
3. One-page project proposal due on May 1. |
|
4. Project Presentations - Starting Jun 5. |
Class
Participation (10%) (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 choose one week to prepare a list of 4 quiz questions based on the assigned readings (journal articles only) for which they will receive a grade for class participation. Students who are responsible for the week’s quiz questions must email the questions and their answers to the instructor and email the questions only to the class emailing list (gis2@lists.pdx.edu) every Monday by 5pm. These questions 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)
Graduate
students will be divided into groups by the
instructor based on students’ research interests. Each group is required
to select one article to read, review, and report to the class. The selected
article could be related to the topics covered in this course or a topic
approved by the instructor. Please follow this link for the instructions of
searching journal articles. A group must give the title and a copy (hardcopy or
softcopy) of the select article to the instructor by noon on April 27.
Within each group, graduate students will form teams of 2 to 3 students to
prepare an article report. The report should take the form of a written summary
and critique of the article (2 page max.) and four discussion questions and
answers. The report must be electronically submitted to the instructor one day
before the scheduled discussion day. All students (including undergraduates)
are required to read the articles before coming to class. The discussion of
journal articles will start in the 7th week. The class will be
divided into small discussion groups each lead by a team of graduate students.
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 ArcGIS 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 GIS project is required for all students. Students can work individually or form project teams of 2 to 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):
·
Oral presentation: Includes
the essential information described in the proposal, data sets used, the
analyses performed, and display the maps and tabular output derived from the
analyses (see presentation rubric).
|
Week |
Tuesday: Case
Study |
Thursday: Technical Topics |
Lab |
|
1 Apr 3/5 |
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 Apr 23) |
|
2 Apr 10/12 |
Site/Suitability
Analysis |
ArcGIS Data Models and Formats |
(Lab 1) |
|
3 Apr 17/19 |
GIS in Action Conference (Instructions) |
ArcGIS Geodatabase and Topology (ESRI Virtual Campus: Working with Geodatabase Topology) |
|
|
4 Apr 24/26 |
Multi-criteria
Decision Making |
Planning a GIS Project |
· Lab 2: Geodatabase Topology (Due by 5pm Apr 30) |
|
5 May 1/3 |
Dasymetric mapping |
ArcToolBox: Analysis Tools Mid-term exam |
· Lab 3: ArcGIS ModelBuilder (Due by 5pm May 7) |
|
6 May 8/10 |
Guest Lecture: Prof. Heejun Chang. Spatial Pattern Analysis |
Student project proposal presentation and discussion |
· Lab 4: Dasymetric Mapping (Due by 5pm May 14) |
|
7 May 15/17 |
Statistical GIS Modeling |
ArcToolBox: Spatial Statistics Tools |
· Lab 5: Pattern Analysis (Due by 5pm May 21) |
|
8 May 22/24 |
GIS Simulation: Agent-Based Modeling Netlogo examples: |
Interpolation and Geostatistics |
· Lab 6: Interpolation and Geostatistical Modelling in ArcGIS (Due by 5pm Jun 4) |
|
9 May 29/31 |
Spatial Optimization (Final exam Q distributed) |
Exploratory Spatial Data Analysis |
(Lab 6) |
|
10 Jun 5/7 |
GIS&T Body of Knowledge Project Presentations |
Students work on projects |
|
|
Jun 12 |
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\ArcGIS Documentation\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
Thursday - ArcGIS Data Models and Formats:
· Pages 45-61. Getting Started with ArcGIS (ArcGIS_Desktop\ Getting_Started_with_ArcGIS.pdf).
Week 3: GIS in Action
Conference
Thursday - ArcGIS Geodatabase and Topology
Week 4: Multi-criteria
Decision Making
Thursday - Planning a GIS Project
·
Pages 65-107. Getting
Started with ArcGIS
(ArcGIS_Desktop\ Getting_Started_with_ArcGIS.pdf).
Week 5: Dasymetric mapping
·
Holloway, S. R., Schumacher, J., and Redmond, R.
L. 1997. Dasymetric Mapping Using Arc/Info. Cartographic Design Using ArcView
and ARC/INFO.
Thursday - 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
Thursday - 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
·
Lee, S. and Pradhan, P. 2007. Landslide hazard
mapping at
Thursday - ArcToolBox: Spatial Statistics Tools
· Read ArcGIS Desktop Online Help for all tools in the Spatial Statistics Toolbox.
Week 8: GIS Simulation:
Agent-Based Modeling
Thursday - Interpolation and Geostatistics
· Pages 49-79. Using ArcGIS Geostatisical Analyst (ArcGIS_Extensions \Using_Geostatistical_Analyst.pdf)
Week 9: Spatial Optimization
Thursday - Exploratory Spatial Data Analysis