GEOL 551x

Geographic Information Systems (GIS) for Geological Sciences

(3 credits)

Spring 2005

Instructor: Camelia Knapp
camelia@geol.sc.edu

T-Th 8:00-9:15 am (to be changed if needed)
EWS 210


3D topographic image of the Tibetan Plateau, project INDEPTH, (Diaconescu, 1997)



Instructor:   Dr. Camelia C. Knapp    EWSC Room 205, phone: 7-8491, e-mail: camelia@geol.sc.edu

Lectures: TTh 8:00 - 9:15 am., Earth and Water Science Building (Room 210)

Lecture Notes: Lectures will be offered in Power Point, and will be posted on Blackboard in HTML format.

Labs:  There are no labs per say, but half of the time will be dedicated to computer exercises (Thursdays).

Office Hours: By appointment only.

Textbook: Geographic Information Systems and Science by Paul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind,  ISBN: 0-471-89275-0 Paperback, 472 pages, John Wiley & Sons, Inc., 2001.

Recommended Bibliography:
Getting to Know ArcGIS Desktop: The Basics of ArcView, ArcEditor, and ArcInfo Updated for ArcGIS 9 (Getting to Know series), by: Tim Ormsby, et al
Inside MapInfo Professional, by Larry Daniel, Paula Loree, Angela Whitener

Geographic Information Systems for Geoscientists: Modelling with GIS, by: Graeme Bonham-Carter

Exploring the Dynamic Earth: GIS Investigations for the Earth Sciences (with CD-ROM), by: Michelle K. Hall-Wallace, et al

Using ArcGIS Spatial Analyst, by: Jill McCoy, Kevin Johnston

Modeling Our World: The Esri Guide to Geodatabase Design, by: Michael Zeiler

Inside ArcView GIS 8.3, by: Scott Hutchinson, Larry Daniel

Mastering ArcGIS with Video Clips CD-ROM, by: Maribeth H. Price, Maribeth Price

Course Description:
    The geological and geophysical applications are based primarily on decisions that are fundamentally spatial, and an ability to analyze spatial relations is usually necessary. Therefore, there is an increasing need for the use of Geographic Information Systems (GIS) in geological and geophysical sciences. Furthermore, due to an increase number of geologic datasets that are also based on very large volumes of descriptive information, a highly optimized database management to store this information is essential. Accordingly, there is a need for geoscientists to master the GIS techniques and in addition to be able to add the third (Z component) or fourth (time) dimension in their analysis. GIS is by its nature two-dimensional (2-D), and thus this course will combine the spatial analysis and database management through GIS and visualization of 2- and 3-D data for more powerful analytical capabilities, and will be focused on earth science applications.

    Through the use of GIS, various data input files (satellite, topographic, geologic, geophysical, geochemical, etc.) in different format types (raster, numerical, vectorial) will be integrated in a single operative environment, regardless of the original system of coordinates and the scale of representation. Earth sciences are by their nature multi-disciplinary and integrative, and GIS is a most opportune tool that enables integration of data across fields. Within the framework of GIS and 3-D visualization, this course will use regional real-world data and applications appropriate for geosciences applications.

    The goals of this GIS course is to help integrate GIS into the activities of the Department of Geological Sciences to foster the use of GIS in the classroom and research projects, and to utilize existing technology (such as Global Positioning Systems) and Internet resources in conjunction with GIS. The course will use real-world data and applications specific to earth science students. Students will be able to create thematic maps through spatial and numerical quarries from existing base maps and other related data.

Logistics:   

    This course is designed as a 500 introductory-level course, although prior knowledge of GIS fundamentals is strongly recommended. The emphasis is on learning-by-doing, so most of the class time is organized around lab exercises and a final project at the end of the semester. This course will be primarily taught in the lab and will provide hands-on in building geodatabases that are easily accessible and manageable. Students will gain experience with various data models for geological and geophysical applications, including spatial and relational databases, and development of a database standard will be explored. The use and integration of remotely sensed imagery will also be included.

Objectives:

Exams:  All exams will be based on the lectures and textbook readings.  There will be a total of two mid-term exams (no final). The exam scores will be equally weighted, and will count for 30% of your final course grade.

Final Project: Students will be encouraged to propose their project of choice, ideally related to their own interests and research. The graduate students will be expected to write their class project as a publishable paper, whereas the undergraduate students can turn their projects in as reports.

Grading:

Exams (2 midterms)                                        30%

Lab Assignments                                             40%

Final Project                                                    20%

Quizzes                                                              5%

Class Participation                                              5%

Assignments: Assignments will be handed out most every week. A week is allowed to complete the assignments, unless otherwise specified. A penalty of 5% per day after the due date will be applied unless a very good reason is presented in advance for not being able to complete the assignement.

Attendance: The attendance policy is simple: Come to class. An excused absence will be tolerated, but any more than 3 absences will become a problem.

Software: Lab exercises represent the main part of this course. Practical demonstrations will make use of ArcGIS (as the standard ESRI-GIS software) and/or MapInfo, Surfer, and to some extent the 3-D PowerWall visualization facility of the College of Science and Mathematics.

Pre-Requisites:

    GEOG 363 or 563 or equivalent or consent of instructor.

Seat Availability:

   Seat availability is limited to16.

Schedule of Course Topics


Week #

Tuesday

Thursday

Tentative Topics

1
 11 Jan

Introduction - Course Overview


 13 Jan Computer Lab Policies, Procedures, Software, and Data Sources
2
 18 Jan
GIS, geoscience, and study


 20 Jan Basics of data and information
3
25 Jan

Representing geologic data spatially


 27 Jan Representing attributes and spatial geo-objects
4
1 Feb

Georeferencing


3 Feb Scientific visualization
5
8 Feb
The nature of geographic data


10 Feb Query and Measurement
6
15 Feb
Analyzing feature relationships


17 Feb MIDTERM EXAM 1
7
22 Feb

Generalization, abstraction, and metadata


24 Feb Map projections and projecting data
8
1 Mar

GIS data collection


3 Mar Creating and editing data; geodatabases
9
 8 Mar

Spring Break


10 Mar Spring Break
10 15 Mar
Creating and maintaining geodatabases


17 Mar Spatial dependence and fragmentation
 11  22 Mar
Vizualization of geological data


 24 Mar Optimization and Hypothesis Testing
12 29 Mar
MIDTERM EXAM 2


 31 Mar Uncertainty and Error
13
5 Apr

Spatial analysis


 7 Apr
Creating models
14
12 Apr

GIS management


14 Apr
Independent projects
15  19 Apr 
Course Summary – Course Evaluations


 21 Apr
Final Project


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Maintained by Camelia Knapp (camelia@geol.sc.edu)
Last updated 15 January 2005

This course will be offered in an on-line format through Blackboard v.6
http://blackboard.sc.edu/