(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
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:
Integration of geological, geophysical, geochemical, and/or environmental data through GIS.
Ability to apply the GIS techniques to specific geosciences data.
Discriminate between spatial and tabular data.
Using GIS, raster data such as satellite imagery, aerial photography, gravity and magnetic data, or scanned maps can be overlaid with vector data such as faults, strike and dip.
Understanding of cartography such as map scale, map projections, coordinate systems, cartographic design, resolution.
Development, analysis, and visualization of geological, geophysical, and imagery databases.
Use of Global Positioning System (GPS) in conjunction with GIS.
Apply GIS to (1) geologic map production, (2) mineral exploration, (3) ground water exploration and management, (4) landside hazard zonation, (5) assessment of earthquake hazards, (6) volcanic hazards, etc.
Use of internet resources for acquiring GIS data.
Basic concepts of Remote Sensing techniques and applications.
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 |
This course will be offered in an
on-line format through Blackboard v.6
http://blackboard.sc.edu/