CSS 620
Spatial Modeling and Analysis
Spring 2007
Description
This course is intended for undergraduate and graduate
students who have the desire to advance their understanding and research of
geographic information science and technology. Emphasis is placed on the
development, integration, and visualization of spatial data for characterizing
environmental systems. Application and evaluation of spatial analytical
methods to environmental systems and databases of interest to the student are
emphasized. In addition, students will gain practical experience in
publicly presenting spatial analysis topics. Finally, student projects
are presented in a “conference” setting during the last week of class.
Objectives
The objectives of this course are: (1) explore advanced topics in modeling and
visualizing spatial data and information; (2) enhance student skills in
processing, analyzing, and visualizing spatial data using
commercially-available GIS software; (3) provide opportunities to analyze and
evaluate advanced spatial analytical techniques and global positioning systems
using data relevant to the student's field of study; (4) provide the student
with experience giving public presentations of research results.
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Dr. Arthur J. Lembo, Jr. |
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Expectations and Responsibilities
Students
are expected to have a basic knowledge of computer systems, DOS and UNIX
operating systems, basic data processing methods, and geographic information
systems. Students should be able to communicate to instructors using electronic
mail, and to access and search the Internet for information relevant to the
course. The goal of the instructors is to promote an active learning
environment in the course which requires instructors and students to be
motivated, participatory, and communicative. Laboratory exercises are designed
to be conducted independently, though discussion and cooperative learning
experiences in the laboratories are encouraged. Instructors and students are
expected to adhere to
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Assignments |
20% |
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Project Report |
40% |
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Exams |
20% |
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Class Participation |
20% |
Students with disabilities are encouraged to see the instructor in order that course materials may be updated appropriately to better foster the teaching and learning experience.
Required
Mitchell, 2005. The ESRI Guide to Spatial Analysis. Volume 2: Spatial Measurements and Statistics. ESRI press.
Lembo, A. 2004. How do I do that in ArcGIS/Manifold. – free download from Cornell University Library. Click on the .pdf
Schedule
CSS 620
The following Powerpoint lectures are provided as a general overview of the individual lecture topics. Please note that the slides are just a portion of what is discussed in class, and they should not take the place of class attendance and participation.
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WEEK |
DAY |
DATE |
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TOPIC |
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1 |
T |
23 Jan |
General Introduction to Spatial Modeling
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Install Manifold |
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R |
25 Jan |
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Reading Assignment: web articles of interest |
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2 |
T |
30 Jan |
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Morain, Chap 1 |
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R |
1 Feb |
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Register Manifold |
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3 |
T |
6 Feb |
Regression Modeling
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Creating Model Parameters: Examples of Regression Analysis for Spatial Data (Linear Regression) |
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Handout |
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R |
8 Feb |
Regression and GIS: Simple linear regression, multiple regression, examples |
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Reading Assignment: Spatial Distributions (a good reference written by Ned Levine and Associates) |
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4 |
T |
13 Feb |
Regression Continued: Logistic regression, examples |
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Project Proposals Due |
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R |
15 Feb |
The Nature of Spatial Data
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Spatial Distributions: centrographic statistics, directional mean and variance, quadrat analysis, nearest neighbor |
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Reading Assignment: Spatial
Autocorrelation (a good reference written by Dr. D. Urban at Distance Analysis (a good reference written by Ned Levine and Associates) |
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5 |
T |
20 Feb |
Distance Analysis: Nearest neighbor, K-Order nearest neighbor, linear nearest neighbor, Ripley’s K |
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Reading Assignments: Spatial Autocorrelation; Distance Analysis
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R |
22 Feb |
Spatial Correlation: Point pattern analysis, coefficient of areal correspondence, chi-square |
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Reading Assignment: GIS Modeling of Archaeological Sites in the Raccoon River River Greenbelt |
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Testing for Spatial Autocorrelation
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6 |
T |
27 Feb |
Spatial Autocorrelation: Moran’s I, Geary’s C, Ripley’s K. |
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Reading Assignment: Spatial Correlation |
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R |
1 Mar |
Spatial Autocorrelation: Join Count Analysis, Examples |
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Reading Assignment: Cluster Analysis (a good reference written by Ned Levine and Associates) |
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7 |
T |
6 Mar |
Linear Modeling: dynamic segmentation, shortest path |
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Reading Assignment: Route Optimization |
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R |
8 Mar |
Spatial Statistics
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Geostatistics: the logical progression from descriptive statistics to geostatistics |
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Reading
Assignment: Geostatistics; Burroughs Spatial Flow diagrams due |
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8 |
T |
13 Mar |
GeoStatistics: working with “bad” data |
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R |
16 Mar |
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9 |
T |
20 Mar |
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- spring break - |
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Assignment: Preliminary Exam (see email) |
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R |
22 Mar |
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- spring break - |
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10 |
T |
27 Mar |
Student Presentations on Spatial Modeling and Analysis
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Goetz,
Dahlhe, Cowett |
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R |
29 Mar |
Dunn,
Stupp, Bigli |
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11 |
T |
3 Apr |
Nguyen, Boisvert, Epstein |
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R |
5 Apr |
Krill,
Caballero, O’Rourke |
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12 |
T |
10 Apr |
Beaudette, Salvucci |
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R |
12 Apr |
Pendleton,
Fuha |
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13 |
T |
17 Apr |
Cowan, Watkins |
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R |
19 Apr |
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14 |
T |
24 Apr |
Future Trends
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R |
26 Apr |
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15 |
T |
1 May |
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R |
3 May |
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Ethics in Spatial Analysis & Course Evaluation |
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Recommended
Morain, S. (ed.) 1999. GIS Solutions in Natural
Resource Management: Balancing the Technical-Political Equation. OnWord Press,
Burrough,
P.A. and R.A. McDonnell. 1998. Principles of Geographical Information
Systems.
CSS 620
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WEEK |
DATE OF LAB |
TOPIC |
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1 |
25,26 Jan |
Lab Familiarization |
Handouts |
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2 |
1,2 Jan |
Manifold Exercises |
Handouts |
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3 |
8,9 Feb |
Manifold Exercises |
Handouts |
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4 |
15,16 Feb |
DiGEM Exercises |
Project Proposals Due |
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5 |
22,24 Feb |
Projects |
Handouts |
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6 |
1,2 Mar |
Projects |
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7 |
8,9 Mar |
Projects |
Spatial Model Diagram Due |
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8 |
15,16 Mar |
Projects |
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9 |
22,23 Mar |
- spring break - |
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10 |
29, 30 Mar |
Projects |
Data Collection Completed |
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11 |
5,6 Apr |
Projects |
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12 |
12,13 Apr |
Projects |
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13 |
19,20 Apr |
Projects |
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14 |
26,27Apr |
Projects |
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15 |
3,4 May |
Class BBQ at Lembo house (May 6) |
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Recommended
ESRI. 1996. Working with ArcView Spatial Analyst.
Chapters 11-13 (1101 BF)
Resources
General GIS and GPS References
Chrisman, N. 1997. Exploring geographic information systems.
John Wiley & Sons,
Clarke, K.C. 1997. Getting started with geographic
information systems. Prentice Hall,
ESRI. 1995. Understanding GIS: The ARC/INFO Method (Ver.
7 for UNIX and Open VMS). Environmental Systems Research
Institute.
Goodchild, M.F., L.T. Steyaert,
B.O. parks, C. Johnston, D. Maidment, M. Crane, and
S. Glendinning (ed.) 1996. GIS and Environmental
Modeling: Progress and Research Issues. GIS World Books.
Muehrcke, P.C. and J.O. Muehrcke.
1992. Map Use:
Snyder, J.P. 1987. Map Projections: A Working Manual.
Star, J. and J. Estes. 1990. Geographic information systems, an introduction.
Prentice Hall,
Tomlin, C.D. 1990. Geographic information systems and
cartographic modeling. Prentice Hall,
Journals
Cartography and Geographic Information Systems. American Congress of Surveying and Mapping (ACSM).
Geographical & Environmental Modeling.
Carfax Publishing Company.
Geographical Systems. Gordon
and Breach Science Publishers, c/o STBS, Order Department, Hannah Garber-Leese,
International Journal of Geographical Information
Systems.
Photogrammetric Engineering and Remote Sensing. American Society for Photogrammetry and
Remote Sensing.
Surveying and Land Information Systems Journal.
American Congress of Surveying and Mapping (ACSM).
Internet Resources
http://cugir.mannlib.cornell.edu/
http://www.nysl.nysed.gov/gis/
http://130.11.52.178/gateways.html
http://www.usgs.gov/
http://www.fgdc.gov/
http://edcwww.cr.usgs.gov/
http://www.ngs.noaa.gov/
http://www.ngs.noaa.gov/products_services.html
http://www.ngs.noaa.gov/PC_PROD/pc_prod.shtml
http://www.tec.army.mil/tecsite.html
http://www.nwi.fws.gov/
http://www.its.nbs.gov/
http://www.nrcs.usda.gov/
http://www.statlab.iastate.edu/soils/nsdaf/
http://www.census.gov/
http://www.ciesin.org/
http://www.ctg.albany.edu/
http://www.lib.utexas.edu/Libs/PCL/Map_collection/Map_collection.html
http://www.utexas.edu/depts/grg/gcraft/notes/datum/datum.html
http://www.utexas.edu/depts/grg/gcraft/notes/coordsys/coordsys.html
http://www.utexas.edu/depts/grg/gcraft/notes/mapproj/mapproj.html
http://www.utexas.edu/depts/grg/gcraft/notes/gps/gps.html
Projects
Students are required to conduct an independent project that focuses on the
application of spatial analysis methods to an environmental resource issue of
interest to the student. Students are encouraged to use their own data, or data
available from public sources accessed with the assistance of course
instructors. To maximize effort in the spatial analysis of these data, every
effort should be made to use existing digital data. The scope and level of
effort of independent projects should be defined to insure the projects are
completed within the time allotted during your lab section.
A project summary,
following the outline below, is due by
In addition, in lieu of a final exam, students are to prepare a poster for submission to a conference. The poster should reflect the work performed by the student. The guidelines for poster creation will be discussed on 19 April.
PROJECT SUMMARY
Title
Your Name
css620
Lab Section (T or W)
Background
Approach
Anticipated Outcomes
References
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