GEOG 492/592 (USP 592): GIS II - Applications
CRN: 41436/41460 (44036), 4 credits
Course Webpage: http://web.pdx.edu/~jduh/courses/geog492w11/
Instructor: Geoffrey Duh (jduh@pdx.edu)
Office: CH 424J Ph: 503-725-3159 Office hours: Monday 1-3 pm 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: Monday 17:30-21:10 Cramer Hall 413
Lab: Tue, Thu 16:00-17:50 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 January 6, 5 pm.
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 8 am. |
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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 7 (in class closed book) |
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4. Take-home Final Exam due - March 14 in class |
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5. Lab's Due by 4:00 PM (to TA) on the following dates: |
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Jan 13, Jan 27, Feb 3, Feb 10, Feb 17, and Mar 3 |
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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 Jan 24. (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 Jan 31. |
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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 8 am. 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 24. 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. 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 Lab instruction document for lab due dates and late policies.
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):
Click here for the information on the requests for academic accommodation and the policy on academic honesty.
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Week |
Case Study |
Technical Topics |
Lab - Instructions |
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1 Jan 3 |
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 Jan 13) |
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2 Jan 10 |
Site/Suitability Analysis - Slides |
ArcGIS Data Models and Formats - Slides |
Lab 2: Raster Modeling (Due by Jan 27) |
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3 Jan 17 |
Martin Luther King, Jr. Birthday |
(Lab 2 continue) |
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4 Jan 24 |
Multi-criteria Decision Making - Slides Jouranl Article Due |
Dasymetric mapping -Slides Raster Data Analysis - Slides |
Lab 3: ArcGIS ModelBuilder (Due by Jan Feb 3) |
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5 Jan 31 |
Statistical GIS Modeling - Slides Project Proposal Due |
ArcToolBox: Analysis Tools - Slides |
Lab 4: Dasymetric Mapping (Due by Feb 10) |
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6 Feb 7 |
Spatial Pattern Analysis - Slides Mid-term exam |
ArcToolBox: Spatial Statistics Tools - Slides |
Lab 5: Pattern Analysis (Due by Feb 17) |
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7 Feb 14 |
GIS Simulation: Agent-Based Modeling - Slides Netlogo examples: |
Interpolation and Geostatistics - Slides |
Lab 6: Interpolation and Geostatistical Modelling in ArcGIS (Due by Mar 3) |
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8 Feb 21 |
Spatial Optimization - Slides |
Exploratory Spatial Data Analysis - Slides |
(Lab 6 continue) |
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9 Feb 28 |
GIS&T Body of Knowledge - Slides (Final exam Questions) |
ArcToolBox: Data Management Tools - Slides |
Students work on projects |
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10 Mar 7 |
Students work on projects |
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Mar 14 |
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
* Pages 99-142. Building a Geodatabase (Managing_data_with_ArcGIS\Building_a_Geodatabase.pdf)
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: Martin Luther King, Jr. Birthday (no class today)
Week 4: Multi-criteria Decision Making
* Fuller, D.O., Williamson. R., Jeffe, M., and James, D. 2003. Multi-criteria evaluation of safety and risks along transportation corridors on the Hopi Reservation. Applied Geography, 23 (2-3): 177-188. (Fuller_etal_2003.pdf)
* Gemitzi, A., Tsihrintzis, V. A., Voudrias, E., Petalas, C. and Stravodimos, G. 2007. Combining geographic information system, multicriteria evaluation techniques and fuzzy logic in siting MSW landfills. Environmental Geology. 51 (5): 797-811. (Gemitzi_etal_2007.pdf)
Technical Topic - Raster Data Analysis & Planning a GIS Project
* 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)
* Pages 73-106. Section 2 (Chapters 4 and 5) in Using ArcGIS Spatial Analyst (ArcGIS_Extensions\ Using_Spatial_Analyst.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
* Zhang, C. et al. 2008. Use of local Moran's I and GIS to identify pollution hotspots of Pb in urban soils of Galway, Ireland. The Science of the total environment (0048-9697), 398 (1-3), p. 212. (Zhang_etal_2008.pdf)
Technical Topic - ArcToolBox: Spatial Statistics Tools
* Read ArcGIS Desktop Online Help for all tools in the Spatial Statistics Toolbox.
* Group discussion journal article
Week 7: GIS Simulation: Agent-Based Modeling
* Brown, D. G. 2004. Agent-based and analytical modeling to evaluate the effectiveness of greenbelts. Environmental Modelling & Software, 19: 1097-1109. (Brown_etal__2004.pdf)
Technical Topic - Interpolation and Geostatistics
* Pages 49-79. Using ArcGIS Geostatisical Analyst (ArcGIS_Extensions\Using_Geostatistical_Analyst.pdf)
* Group discussion journal article
Week 8: Spatial Optimization
* Schietzelt, T. H. and Densham, P. J. 2003. Location-allocation in GIS. In: Advanced Spatial Analysis: The CASA book of GIS. Editors: P. A. Longley, M. Batty. ESRI Press. (SchietzeltDensham_2003.pdf)
Technical Topic - Exploratory Spatial Data Analysis
* Pages 81-112. Using ArcGIS Geostatisical Analyst (ArcGIS_Extensions \Using_Geostatistical_Analyst.pdf)
* Group discussion journal article
Week 9: GIS&T Body of Knowledge
* DiBiase D. et al. (Eds) 2006. Geographic Information Sciences & Technology: Body of Knowledge (1st edition). UCGIS and AAG. URL: http://www.ucgis.org/priorities/education/modelcurriculaproject.asp (AAGKnowledge_Flyer.pdf). Chapter 2: (BOK sample ch 2.pdf).
* US Department of Labor Geospatial Technology Competency Model (Geospatial-Industry.pdf)
* Group discussion journal article
Technical Topic - ArcToolBox: Data Management Tools
* Read ArcGIS Desktop Online Help for the generalization and feature toolsets in the Data Management Toolbox