Project Web -- Schedule

Syllabus

Computerized Map Design (Fall 2017)
(Maps and Graphic Methods)

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Blackboard (for email and lecture notes only): https://blackboard.sdsu.edu/

Facebook:  https://www.facebook.com/SDSUgeospatial

 

Instructor:       Dr. Ming-Hsiang (Ming) Tsou

                        Storm Hall Room 313C

                        mtsou@mail.sdsu.edu  

 

Office Hour:     Tuesday 10:30am- 12:00pm

                          or by appt. (619) 594-0205

TA: 
Melanie Lopez (M.S. student)
  mmlopez2@sdsu.edu 
 

 

 

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 ArcGIS Online) 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.

 

Textbooks:

·        (Optional) Dent, B. D., Torguson, J. S., and Hodler, T. W. (2009), Cartography:  Thematic Map Design, 6th ed., New York, McGraw-Hill.

·        (Required) Tsou, M. 2012, GEOG.381. Lecture notes: Computerized Map Design (Maps and Graphic Methods) (available at SDSU Book Store and Blackboard).

Additional readings are available on the Black Board.

 

Lectures:

Lectures focus on the introduction of principles of cartographic design, including map construction, projection, visualization, generalization, and uncertainty. In-lecture Quizzes and Exercises (10% total grade) will be given randomly during the lectures. Students cannot re-take or make up the quizzes or exercises after the lectures except for personal health reasons or advanced notices by emails (at least one week before the lecture). 

 

Lab Exercises:

Students must attend and sign-in for each lab session, meeting twice every week. If you cannot attend the lab sessions or lecture sessions, you need to email both the TA and the Instructor (Tsou) before the session and explain the reason you cannot attend the sessions.  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 (total grade) 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 lab assignments by 5pm, December 18, 2017 to receive a passing grade (D- or above) regardless of how many points have been docked.

 

Grading:          Class participation (lectures): 5%;      In-lecture Quizzes and Exercises: 15%

                        Lab exercises: 25%;  Individual Mapping Project: 15%; 

                        Midterm Exam: 20%; Final Exam: 20%

 

WEEK                         LECTURE                                      READING            LAB EXERCISE

1

29  Aug

31

Introduction - Cartographic Process

(library reference assignment)

Ch. 1

No lab on first week

(Create ESRI accounts + Activate Training access)

2

05 Sep
07

Map Functions and Types

Map Design: Abstraction/Constraints

Ch. 2

Bring your headphones! 

Getting Started with GIS (4 hours)

3

12 Sep
14

Map Projections

Ch. 3

Basics of Map Projections

4

19 Sep
21

Generalization Controls and Elements Remote sensing and GPS

Ch. 4

ESRI Story Map

5

26 Sep
28

Generalization Methods

Map Scale and Typography

Introducing Individual Mapping Project

 

Imhoff

ESRI ArcGIS Online (Plan Routes for Food Inspectors)

6

03 Oct

05

Map Composition and Visual Variables Thematic Map Symbols/ Point symbols

Ch. 6, 7, 8

Learning ArcGIS Desktop-1 (5)

7

10 Oct

12

Line and Area Symbols

Color (Oct 10 - Distribute Exam questions.) (Review Exam)

Ch.14

 

Learning ArcGIS Desktop-2 (6)

8

17 Oct

 

19 Oct

Mid-term Exam: Oct. 17 (20 points)

7:50AM – 9:00AM (SH-316)

Graphing

 

Learning ArcGIS Desktop-3 (7)

9

24 Oct
26

Data Processing

Ch. 5

Fisher

Learning ArcGIS Desktop-4 (8)

10

31 Oct

02 Nov

Choropleth mapping

Ch. 5, 6

Evans

Planning a Cartography Project (9)

(Individual Mapping Project: One Web Map and One Paper Map)

11

07 Nov

09

Dasymetric mapping

 

 

Intro to CartoDB and MapBox

12

14 Nov

16

Mapping Uncertainty and GIS

Buttenfield

 

Intro to Leaflet and JavaScript Programming

13

21 Nov

23

Thanksgiving Week 

(NO Lectures, NO Labs)

 

NO LABS (SAL open on Tuesday, but no TA).

14

28 Nov

30 Dec

Internet Mapping and Multimedia

 

 

Creating Map Products

 

15

05 Dec

07

Map Use and Misuse

(Dec 07: Distribute Final Exam questions)

Ch. 16

Tsou

(Individual Mapping Project)

16

12  Dec

Future of Mapping

Individual Mapping Project Presentation (Dec 12), 9AM – 10:20am.  (SAL lab)

 

 

 

14  Dec

Final Exam Dec 14 (20 points) 7:50AM – 9:00AM    Location: SH-316

(no lab session on Dec 14).

 

18  Dec

All Missed Labs Due Date  (by 5pm in the Instructor’s mailbox --  TSOU)

Final Individual Mapping Project Submission (in Blackboard) by 5pm.

 

 

 

 

 

Additional Readings: (located in Y:(Vortex_geog381)/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.

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.

Tsou, M. H. (2011). Revisiting Web Cartography in the United States: the Rise of User Centered Design. Cartography and Geographic Information Science, 38 (3), 249- 256.

Tsou, M. H. (2015). Research challenges and opportunities in mapping social media and Big Data. Cartography and Geographic Information Science, 42:sup1, 70-74. doi: 10.1080/15230406.2015.1059251.

 

Note:   If you are a student with a disability and believe you will need accommodations for this class, it is your responsibility to contact Student Disability Services at (619) 594-6473. To avoid any delay in the receipt of your accommodations, you should contact Student Disability Services as soon as possible. Please note that accommodations are not retroactive, and that I cannot provide accommodations based upon disability until I have received an accommodation letter from Student Disability Services. Your cooperation is appreciated.

 

 

Individual Mapping Project: 15%  (Presentation 7%, Final Submission 8%)

After taking the two web courses (Planning a Cartography Project and Creating Map Products), you will select one topic you like and start to design one web map (in ArcGIS Online, Web App, or ESRI Story Map) and one paper map (in a PDF file).  Each student will make a Mapping Project Presentation (4 mins per person) on Dec 12 during the Lab session at 9AM (10%) and submit the final version (both the PDF and online map link) on Blackboard by Dec 18 at 5PM.

 

Additional GIS Learning resources:

bullet San Diego GIS Data: SANDAG: http://www.sandag.org/index.asp?classid=21&fuseaction=home.classhome
bullet ArcGIS Story Map Gallery: https://storymaps.arcgis.com/en/gallery/#s=0
bullet https://learn.arcgis.com/en/
bullet http://edcommunity.esri.com/Resources/collections---higher-education

 

 

 

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Last updated: August 24, 2017.