|
|
|
|
<Download PDF version for Print out> Web site
à
http://geography.sdsu.edu/People/Pages/tsou/geog381/ Facebook:
Geospatial Technology
at SDSU Blackboard
(for email only):
https://blackboard.sdsu.edu/
Lectures: Tue. / Thur. 8:00am - 8:50am
Location: Storm
Hall 248 Labs:
Tue. / Thur. 9:00am - 10:20am
Lab room: Storm Hall 338 (SAL)
Overview:
Cartography is a synthesis of science, techniques,
and art.
This course introduces students to cartographic design and principles.
The lectures will emphasize the construction of maps with modern methods
by using computers and GIS software.
The map construction includes scale, projections, generalization, symbols,
classification, color scheme, and visualization.
The lab exercises will provide hands-on experiences (ArcGIS) and equip
students with the fundamental skills for advanced GIS courses and computer
mapping. Besides the basic training
in cartographic techniques, the major goals of this class are to:
1.
Understand the
principles of cartographic design and map construction.
2.
Generate maps with
appropriate cartographic skills.
3.
Encourage students to
explore advanced cartographic issues, such as visualization, on-line mapping,
and cognitive
science.
Required Textbooks:
·
Dent, B. D., Torguson, J. S., and Hodler, T. W. (2009),
Cartography:
Thematic Map Design, 6th ed., New York, McGraw-Hill.
·
Tsou, M. 2010,
GEOG.381. Lecture notes: Computerized Map Design (Maps and Graphic Methods)
(available
at SDSU Book Store).
Additional readings are available on the digital archive of
Y:(Twister_g381)/readings
folder. (in SAL lab).
Lectures:
Lectures focus on the introduction of principles of cartographic design,
including map construction, projection, visualization, generalization, and
uncertainty.
Lab Exercises:
Students must attend and sign-in for
each lab session, meeting twice every week. Lab exercises focus on the training
of cartographic skills by using the ESRI ArcGIS software package.
Students are required to attend full lab periods to receive a passing
grade. To encourage good attendance,
TWO points will be taken off the whole
course final grade for EACH missed lab.
Lab assignments are due at the beginning (8:00am) of the lab due date.
Late assignments will be docked 20% per day, and will be effective at the
lab on the due date. Students must
hand in all assignments by 5pm, May 10,
2012 to receive a passing grade (D- or above) regardless of how many points
have been docked.
Grading:
Class participation (lectures): 5%;
Lab exercises: 50%;
Midterm Exam: 20%;
Final Exam: 25%
WEEK
LECTURE
READING
LAB EXERCISE
Additional Readings: (located in
Y:(Twister_g381)/readings folder. in SAL lab)
Brewer, C. A. 1994 Color Use
Guidelines for Mapping and Visualization. In MacEachren, A. M. and Taylor,
D.R.F. (eds.) Visualization in Modern
Cartography. New York: Elsevier: 123-147. Buttenfield, B. P. 1999
Visualizing Ecological Uncertainty. Chapter 6 in Hunsaker, C., Goodchild, M.F.,
Friedl, M. and Case, T. (Eds.) Uncertainty in Spatial Data for Ecological Analyses. New York:
Springer-Verlag. ESRI. (2009).
Maplex for ArcGIS. An ESRI White
Paper. Redlands, California. Evans, I.S. 1977 The
Selection of Class Intervals.
Transactions, Institute of British Geographers, 2: 98-124. Fisher, W.D. 1958 On
Grouping for Maximum Homogeneity. Journal
of the American Statistical Association, vol. 53(Dec): 789-798. Imhoff, E. 1975 Positioning
Names on Maps. The American Cartographer,
vol. 2(2): 128-144. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Last updated: January 13, 2012. |