GEOG 492/592 (USP 592): GIS II – Applications
CRN: 41347/41372 (43886), 4 credits
Course Webpage: http://web.pdx.edu/~jduh/courses/geog492w10/
Instructor: Geoffrey Duh (jduh@pdx.edu)
Office: CH 424J Ph: 503-725-3159 Office hours: Tue, Thu 2-3:30pm or by appointment
TA: Nadia Jones (sittara@pdx.edu) (Be descriptive of your email subject line to get prompt response) (Additional Lab Instructions – pdf version)
Lecture: Tue, Thu 12:00-13:50 Cramer Hall 413
Lab: Wed 14:00-15:50, 16:00-17:50, 18:00-19:50 in CH 469 (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 Jan 6.
Course Objectives
Students will learn how to use GIS 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.
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Undergraduates |
Graduate Students |
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Lab Assignments |
30% |
25% |
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Midterm |
15% |
15% |
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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
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Submitted individually: |
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1. List of 4 quiz questions and answers from the readings for each week the student signs up - due by Monday at 5 PM. |
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2. If miss a class, prepare answers to questions from class before or right after. |
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3. Mid-Term on Feb 4 (in class closed book) |
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4. Take-home Final Exam due – March 18 in class |
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5. Lab's
Due at |
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Jan 12, Jan 25, Feb 2, Feb 9, Feb 16, and Mar 2 |
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Submitted as a group (or individually if doing the project alone): |
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1. Choose Journal Article that is approved. The title and a copy of the article need to be submitted to the instructor by noon Jan 19. (Graduate students only) |
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2. Journal Article Review 2 page max summary and 4 discussion questions and their answers (submitted one day before the discussion). (Graduate students only) |
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3. One-page project proposal due on January 28. |
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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) 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) - Student Groups
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 Jan 19. Within each group, each graduate student needs 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 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 ArcGIS and other GIS software packages and to apply the course concepts to real data. Lab exercises are due by noon Tuesday 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 (not recommended) 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).
Click here for the information on the requests for academic accommodation and the policy on academic honesty.
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Week |
Tuesday Case Study |
Thursday Technical Topics |
Lab - Instructions |
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1 Jan 5/7 |
Course Overview Crunching numbers - BBC World Service Interview Ian Ayress, March 28, 2008, 26 minutes, mp3 |
Basic GIS Concepts Review - Slides Online lecture: Working with Geodatabase Topology |
· Lab 1: Geodatabase Topology (Due by 5pm Jan 11) |
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2 Jan 12/14 |
Site/Suitability Analysis - Slides |
ArcGIS Data Models and Formats - Slides |
· Lab 2: Raster Modeling (Due by noon Jan 26) |
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3 Jan 19/21 |
Multi-criteria Decision Making – Slides Jouranl Article Due |
Raster Data Analysis - Slides |
(Lab 2 continue) |
|
4 Jan 26/28 |
Dasymetric mapping -Slides |
Planning a GIS Project - Slides Project Proposal Due |
· Lab 3: ArcGIS ModelBuilder (Due by noon Feb 2) |
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5 Feb 2/4 |
Statistical GIS Modeling - Slides |
ArcToolBox: Analysis Tools - Slides Mid-term exam |
· Lab 4: Dasymetric Mapping (Due by noon Feb 9) |
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6 Feb 9/11 |
Spatial Pattern Analysis - Slides |
ArcToolBox: Spatial Statistics Tools – Slides |
· Lab 5: Pattern Analysis (Due by noon Feb 16) |
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7 Feb 16/18 |
GIS Simulation: Agent-Based Modeling - Slides Netlogo examples: |
Interpolation and Geostatistics - Slides |
· Lab 6: Interpolation and Geostatistical Modelling in ArcGIS (Due by noon Mar 2) |
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8 Feb 23/25 |
Spatial Optimization - Slides |
Exploratory Spatial Data Analysis – Slides |
(Lab 6 continue) |
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9 Mar 2/4 |
GIS&T Body of Knowledge - Slides (Final exam Questions) |
ArcToolBox: Data Management Tools - Slides |
Students work on projects |
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10 Mar 9/11 |
Students work on projects |
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Mar 18 |
Project Presentations |
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GIS II Topics and Readings
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 1:
Technical Topic - ArcGIS Geodatabase and Topology
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:
· Pages 45-61. Getting Started with ArcGIS (ArcGIS_Desktop\ Getting_Started_with_ArcGIS.pdf).
Week 3: Multi-criteria Decision Making
Technical Topic – Raster Data Analysis
· Pages 73-106. Section 2 (Chapters 4 and 5) in Using ArcGIS Spatial Analyst (ArcGIS_Extensions\ Using_Spatial_Analyst.pdf).
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. High Mountain Press, NM. (HollowaySchumacherRedmond_1997.pdf)
Technical Topic - Planning a GIS Project
· Pages 65-107. Getting Started with ArcGIS (ArcGIS_Desktop\ Getting_Started_with_ArcGIS.pdf).
Week 5: Statistical GIS Modeling
· Lee, S. and Pradhan, P. 2007. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides, 4: 33–41. (LeePradhan_2007.pdf.pdf)
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: GIS Simulation: Agent-Based Modeling
Technical Topic - Interpolation and Geostatistics
· Pages 49-79. Using ArcGIS Geostatisical Analyst (ArcGIS_Extensions \Using_Geostatistical_Analyst.pdf)
Week 8: Spatial Optimization
Technical Topic - Exploratory Spatial Data Analysis
Week 9: GIS&T Body of Knowledge
Technical Topic - ArcToolBox: Data Management Tools
· Read ArcGIS Desktop Online Help for the generalization and feature toolsets in the Data Management Toolbox