GEOG 492/592 (USP 592): GIS II –
Applications
CRN: 61367/61395 (64188), 4 credits
Course Webpage: http://web.pdx.edu/~jduh/courses/geog492s08/
Instructor: Geoffrey Duh (jduh@pdx.edu)
Office: CH 424J Ph: 503-725-3159 Office hours: Mon 1- 3
TA: Beth Goralski (goralski@pdx.edu) (Be descriptive of your email subject
line to get prompt response) (Additional
Lab Instructions)
Lecture: Tuesday 16:00-17:20 & Thursday 16:00-17:50, CH413
Lab: Mon 10:15-12:05, Tue 10:00-11:50, Wed 14:00-15:50 in CH469
(Lab starts in the first week of the class)
Course emailing list: gis2@lists.pdx.edu
Pre-course
survey: http://survey.oit.pdx.edu/ss/wsb.dll/jduh/gis2.htm Complete the survey by April 3 before class.
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 and Due Dates
|
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 1 (in class closed book) |
|
4. Take-home Final Exam due – June 10 |
|
5. Lab's Due at 5:00 PM on the following dates: |
|
Apr 21, Apr 28, May 5, May 12, May 19, and Jun 2 |
|
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 April 22. (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 April 24. |
|
4. Project Presentations – Starting in Week 10. |
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 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) on 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
April 22. 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 4
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 6th
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).
Requests for Academic
Accommodation
Students who have a learning disability that may
affect their performance should contact the
Policy on Academic Honesty
Any type of academically and ethically dishonest work (plagiarism, copying someone else's work, etc.) may result in an automatic "F" for the assignment and, when appropriate, a report filed with the Office of Student Affairs. The PSU Bulletin includes the following statement on Academic Honesty: "The Student Conduct Code, which applies to all students, prohibits all forms of academic cheating, fraud, and dishonesty. These acts include, but are not limited to, plagiarism, buying and selling of course assignments and research papers, performing academic assignments including tests and examinations for other persons, unauthorized disclosure and receipt academic information, and other practices commonly understood to be academically dishonest."
|
Week |
Tuesday |
Thursday |
Lab (Instructions) |
|
1 Apr 1, 3 |
Course Overview |
Basic GIS Concepts Review (slides) |
· 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 21) |
|
2 Apr 8, 10 |
Site/Suitability
Analysis (Slides) |
ArcGIS Data Models and Formats & Raster Data Analysis (Slides) |
(Lab 1) |
|
3 Apr 15, 17 |
Multi-criteria Decision Making I (Slides) (t-test excel spreadsheet) |
Online lecture: ArcGIS Geodatabase and Topology (ESRI Virtual Campus: Working with Geodatabase Topology) (Slides) |
|
|
4 Apr 22, 24 |
Multi-criteria
Decision Making II (Slides) |
Planning a GIS Project (Slides) Guest speaker: Kumkum
Bhattacharyya Project Proposal
Due |
· Lab 2: Geodatabase Topology (Due by 5pm Apr 28) |
|
5 Apr 29, May 1 |
Dasymetric mapping (Slides) |
ArcToolBox: Analysis Tools (Slides) |
· Lab 3: ArcGIS ModelBuilder (Due by 5pm May 5) |
|
6 May 6, 8 |
Spatial Pattern Analysis (Slides) |
ArcToolBox: Spatial Statistics Tools (Slides) Mid-term exam |
· Lab 4: Dasymetric Mapping (Due by 5pm May 12) |
|
7 May 13, 15 |
Statistical GIS Modeling (Slides) |
ArcToolBox: Data Management Tools (Slides) |
· Lab 5: Pattern Analysis (Due by 5pm May 19) |
|
8 May 20, 22 |
GIS Simulation: Agent-Based Modeling (Slides) Netlogo examples: |
Interpolation and Geostatistics (Slides) |
· Lab 6: Interpolation and Geostatistical Modelling in ArcGIS (Due by 5pm Jun 2) |
|
9 May 27, 29 |
Spatial Optimization (Slides) |
Exploratory Spatial Data Analysis (Slides) GIS&T Body of Knowledge (Slides) |
(Lab 6) |
|
10 Jun 3, 5 |
Students work on projects |
||
|
Jun 10 |
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)
Technical Topic - ArcGIS Data Models and Formats & Raster Data Analysis:
·
Pages 45-61. Getting
Started with ArcGIS
(ArcGIS_Desktop\ Getting_Started_with_ArcGIS.pdf).
· Pages 73-106. Section 2 (Chapters 4 and 5) in Using ArcGIS Spatial Analyst (ArcGIS_Extensions\ Using_Spatial_Analyst.pdf).
Week 3: Multi-criteria
Decision Making I
Technical Topic - ArcGIS Geodatabase and Topology
Week 4: Multi-criteria
Decision Making II
Technical Topic - 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.
Technical Topic - 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
Technical Topic - ArcToolBox: Spatial Statistics Tools
· Read ArcGIS Desktop Online Help for all tools in the Spatial Statistics Toolbox.
Week 7: Statistical GIS
Modeling
·
Lee, S. and Pradhan, P. 2007. Landslide hazard
mapping at
Technical Topic - ArcToolBox: Data Management Tools
· Read ArcGIS Desktop Online Help for the generalization and feature toolsets in the Data Management Toolbox
Week 8: GIS Simulation:
Agent-Based Modeling
Technical Topic - Interpolation and Geostatistics
· Pages 49-79. Using ArcGIS Geostatisical Analyst (ArcGIS_Extensions \Using_Geostatistical_Analyst.pdf)
Week 9: Spatial Optimization
Technical Topic - Exploratory Spatial Data Analysis