POLYTECHNIC UNIVERSITY OF PUERTO RICO
GEOMATIC SCIENCE DEPARTMENT
GEOM 6630 – Geospatial Modeling & Analysis
2012 Catalog Data: Three credit hours. One, four hours lecture per week.
Pre requisite: GEOM 5600 or undergraduate course in Geographic Information Systems and MGM 5700 or undergraduate course in Statistics.
Modeling of spatial data and data analysis most useful to professionals who use spatial data. Course provides the student with more advanced methods with an emphasis on practical techniques for problem solving.
Michael J. De Smith. Michael F. Goodchild, and Paul A. Longley, (2011) Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools, Third Edition. (Web version at http://www.spatialanalysisonline.com/output/)
David L .Verbyla, (2002) Practical GIS Analysis. CRC Press. Print ISBN: 978-0-415-28609-1 eBook ISBN: 978-0-203-21793-1
After course completion student will be able to:
Understand and critically review geographical research literature that employs analysis techniques & methods.
Recognize which method should be utilized when a real-world situation calls for some sort of geospatial analysis.
Apply common quantitative methods to describe, analyze and interpret geospatial data sets.
Gain hands-on practice and skills in using computer software to conduct quantitative analysis.
Overview: techniques and methods in geographical research
Spatial Analysis fundamentals
- a. Geometric Operations
- b. Queries
- c. Distance Operations
- d. Directional Operations
- e. Grid Operations
- Data Exploration and Spatial Statistics
- a. Statistical Methods
- b. Exploratory Spatial Data Analysis
- c. Grid based statistics
- d. Point pattern
- e. Spatial autocorrelation
- f. Regression Methods
- Surface analysis
- a. Introduction
- b. Surface geometry
- c. Visibility
- d. Watersheds
- Locations analysis
- a. Networks
- b. Location and service areas
- 6. Geospatial modeling
There will be different educational strategies used to teach the course. Among them could be mentioned conference, independent work, collaborative learning, teamwork and research. Individual work capabilities of individual work and will be developed through the work in assignments and preparation of technical papers. Teamwork and collaborative learning skills will be encouraged and evaluated through projects and effective collaboration of groups of students. Students will be train to do independent work and research and to make effective technical presentations.
Assessment will be explicit and implicit – graded lab exercises/activities and exams, participation points, and through ungraded self-assessments (which may serve as fodder for discussion forums). Assessment material will draw from textbook and other reading materials, lessons, and lab exercises/activities. The content will necessarily overlap and emphasize key concepts, however, it is critical that student diligently accomplish all weekly tasks.
Activities are highly variable and may require students to download and use application-specific freeware/data from the Internet, read and report on a chosen article, discuss concepts discussion forums or research information on the Internet. Among principal activities are:
- Lecture and associated reading material
- Exercise/Lab activities
- Chat Room Discussions and Thought Questions – expected participation several times per week
This course makes use of diverse Geospatial software. Among them ESRI's ArcGIS and PCI Geomatica. Software is available in the GIS and the computer lab. Open Source used in courses such as Quantum GIS, GRASS or MapWindow are freely avalilable on their respective web sites. For computer requirements consult respective web site.
Course materials will be posted on Blackboard. To access Blackboard you will need your ID and Password. Blackboard is located at: virtualcampus.pupr.edu
Abdul-Rahman, A., & Pilouk, M. (2008). Spatial data modelling for 3D GIS. Berlin ; New York: Springer.
Albrecht, J. (2007). Key concepts & techniques in GIS. Los Angeles [i.e. Thousand Oaks, Calif.]: SAGE Publications.
Atkinson, P. M. (2005). GeoDynamics. Boca Raton: CRC Press.
Atkinson, P. M., & Martin, D. (2000). GIS and geocomputation. London ; New York: Taylor & Francis.
Batty, M., & Longley, P. (1996). Spatial analysis : modelling in a GIS environment. Cambridge
Batty, M., University College London. Centre for Advanced Spatial Analysis, & Longley, P. (2003). Advanced spatial analysis : the CASA book of GIS. Redlands, Calif.: ESRI Press.
Berry, J. K. (1995). Spatial reasoning for effective GIS. Fort Collins, Colo.: GIS World Books.
Campari, I., & Frank, A. U. (1993). Spatial information theory : a theoretical basis for GIS : European conference, COSIT'93, Marciana Marina, Elba Island, Italy, September 19-22, 1993 : proceedings. Berlin ; New York: Springer-Verlag.
Christakos, G., Serre, M. L., & Bogaert, P. (2001). Temporal GIS: advanced functions for field-based applications. Berlin ; New York: Springer.
Clarke, G., & Stillwell, J. C. H. (2004). Applied GIS and spatial analysis. Chichester, West Sussex, England ; Hoboken, NJ: Wiley.
DeMers, M. N. (2002). GIS modeling in raster. New York [Chichester]: Wiley.
Elwood, S., & Cope, M. (2009). Qualitative GIS: a mixed methods approach. Los Angeles ; London: SAGE.
Fischer, M. M., European Science Foundation., Unwin, D., & Scholten, H. J. (1996). Spatial analytical perspectives on GIS. London ; Bristol, PA: Taylor & Francis.
Fisher, P. F., & Unwin, D. (2005). Re-presenting GIS. Chichester, England ; Hoboken, NJ: John Wiley & Sons.
Formentini, U., Campari, I., & Frank, A. U. (1992). Theories and methods of spatio-temporal reasoning in geographic space. Berlin ; New York: Springer-Verlag.
Frank, A. U., & Hirtle, S. C. (1997). Spatial information theory : a theoretical basis for GIS : international conference COSIT '97, Laurel Highlands, Pennsylvania, USA, October 15-18, 1997 : proceedings.
Berlin ; New York: Springer.
Goodchild, M. F. (1996). GIS and environmental modeling : progress and research issues. Fort Collins, CO: GIS World Books.
Griffith, D. A., & Arlinghaus, S. L. (1996). Practical handbook of spatial statistics. Boca Raton: CRC Press.
Lee, J., & Wong, D. W. S. (2001). Statistical analysis with ArcView GIS. New York ; Chichester [England]: John Wiley.
Lloyd, C. D. (2010). Spatial data analysis : an introduction for GIS users. Oxford ; New York: Oxford University Press.
Maguire, D. J., Goodchild, M. F., & Batty, M. (2005). GIS, spatial analysis, and modeling (1st ed.). Redlands, Calif.: ESRI Press.
Malczewski, J. (1999). GIS and multicriteria decision analysis. New York: J. Wiley & Sons.
Molenaar, M. (1998). An introduction to the theory of spatial object modelling for GIS. London ; Bristol, PA: Taylor & Francis.
National Academies Press (U.S.), & ebrary Inc. (2006). Learning to think spatially (pp. xviii, 313 p.).
Pilz, J. U. b. r., & SpringerLink (2009). Interfacing Geostatistics and GIS
Verbyla, D. L. (2002). Practical GIS analysis (pp. ix, 294 p.).
Wang, F. (2006). Quantitative methods and applications in GIS (pp. 265 p.).
Wong, D. W. S., & Lee, J. (2005). Statistical analysis of geographic information with ArcView GIS and ArcGIS (Fully rev. & updated. ed.). Hoboken, N.J.: John Wiley & Sons
Worboys, M., & Duckham, M. (2004). GIS : a computing perspective (2nd ed.). Boca Raton, Fla.: CRC Press.
A student with a disability must file a request for course accommodation at the beginning of each trimester or as soon as the need arises. Visit the Guidance and Counseling Office to follow the established institutional procedures for petitioning reasonable accommodation. The start-date for providing reasonable accommodation shall be when the student submits notification to the instructor; this does not apply retroactively as established by law. For more information, go to: www.pupr.edu/spi.
Academic Honesty, Fraud and Plagiarism
Acts of dishonesty, fraud and plagiarism, and other inappropriate behaviors regarding academic work are major infractions sanctioned by the Student Regulations. Major infractions, as stipulated in the Student Regulations, may result in suspension or expulsion from the University.
Using Electronic Devices
All cell phones and other electronic devices must be deactivated before entering class to guarantee excellence in the teaching and learning environment. Urgent situations should be addressed, as appropriate. The University bans the operation of electronic devices that provide access, storage or data transfer during assessments or examinations.
Syllabus- GEOM 6630 - Geospatial Modeling & Analysis ©Copyright PUPR