Syllabus 

Geographic Information Science and Spatial Reasoning

(GEOG 104)  (A General Education [GE]  Course)

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GEOG 104 (Fall 2008)

Geographic Information Science and Spatial Reasoning

(GE course in the category of FOUNDATION: Mathematics/Quantitative Reasoning)

Class Web site  http://map.sdsu.edu/geog104/   

Blackboard URL: https://blackboard.sdsu.edu/

 

Lectures: Tue. / Thurs. 11:00am - 12:15pm              Location: Storm Hall 248

Web-based GIS exercises:  http://map.sdsu.edu/geog104/lab.htm

 

Instructor:       Dr. Ming-Hsiang Tsou

                        Storm Hall 326

                        mtsou@mail.sdsu.edu

Office Hour:   Monday  4:00pm - 5:00pm

                        Tuesday  4:00pm - 5:00pm

or appt. (619) 594-0205

TA:   Ick-Hoi (Rick) Kim

Email:  <kimikhoi@hotmail.com>

Office Hour: Monday 3:00pm - 4:00pm

                      Thursday 3:00pm - 4:00pm

or appt. (619) 594-2599

 

 

Overview: 

This course will introduce fundamental concepts of geographic information science (GIScience), including geographic information systems (GIS), global positioning systems (GPS), cartography, remote sensing, and spatial statistics.  Advanced geospatial application tools, such as Google Earth, Google Map, and the National Geographic Map Machine will be used to demonstrate these concepts.  Students will learn how to use these geospatial technologies and tools in addressing human and environmental problems.  Students will be able to organize geospatial data, visualize spatial patterns, and conduct basic spatial query and map overlay functions.  

 

Prerequisites:  Satisfaction of the Entry-Level Mathematics requirement (ELM).

 

Required Textbooks:

Longley, Paul A., Goodchild, Michael F., Maguire, David J., and David W. Rhind.  2005.  Geographic Information Systems and Science (Second Edition), John Wiley and Sons, Toronto.

 

Lectures:  Lecture sessions emphasize the principles and concepts of GIScience and spatial reasoning, including spatial analysis theory, GIS operations, Cartography, spatial statistics, remote sensing, and computer technology.  Lecture notes are available on the class website.

 

Web-based Assignment (Home Works): 

This course will provide a series of web-based GIS exercises for students who may utilize any campus computers in public space or their home computers with high speed Internet access.  Web-based assignments are due at the beginning of the lecture (11:00am) on the lab due day.  Late submission will be docked 20% per day, and will be effective on the due date.  This course also provides the access to the SAL lab (Storm Hall 338) on Friday morning between 11:00am to 12:00pm for students who need to access high speed Internet.

 

Grading:         Class participation (lectures): 10%;            Web Exercises: 40%; 

                        Midterm Exam: 20%;                                   Final Exam: 30%

 

 

For the Mid-term and Final exam:  include 10 multiple choice questions, four problem solving questions (computation), and four short answer questions (4-5 sentences).  For the web-based exercises, there are several GIS modules with on-line demo and exercises.  Each module consists of multiple choice questions, short answer questions, and problem solving questions.  For the Class participation, it will be based on the attendance and the questions/answers during the lectures and on the blackboard.

 

         Week                 Lecture                         Reading                    Web Exercises

PRIVATE1

2  Sep

Introduction

Overview of GIScience

(Butler)

Chapter 1

No Exercise this week

2

 9 Sep
11

Mapping the Earth

Describing location

Chapter 2

Exercise 1 Mapping the Earth

3

16 Sep
18

Digital Globe

Scale and Resolution

Chapter 3,4

Exercise 1 Mapping the Earth

4

23 Sep
 

25

Guest Lecture: Paul Hardwick

Guest Lecture: Harry Johnson.

( Both Attendance required)

Chapter 5,6

Exercise 2 Georeference and map projection

5

30 Sep
  2 Oct

Geo reference

GPS introduction

Corvallis

Trimble

Exercise 2 Georeference and map projection

6

  7 Oct

  9

Sampling the Earth

Basic of GIS

Chapter 7, 8

(Mark, et al)

Exercise 3 Web-GIS examples

7

14 Oct

16

GIS data input

Database Management

Chapter 9,10

Exercise 3 Web-GIS examples

8

21 Oct
23

Internet and the Web GIS

Intro Remote Sensing

Chapter 11

(NASA Website)

Exercise 4 Remote Sensing

9

28 Oct
30

Cartography (Exam review)

Mid-term Exam

Chapter 12

NO Exercises this week

10

 4 Nov
 6 Nov

Remotely Sensed Imagery

EMR interaction

 

Exercise 4 Remote Sensing

11

11Nov

13

NO Class (Veterans Day)

Visualization and Maps

Chapter 13, 14

Exercise 4 Remote Sensing

12

18 Nov

20

Spatial Analysis

Spatial Statistic

Chapter 15, 16

Exercise 5 Spatial Analysis

13

25 Nov

27

Thanksgiving

(No class this week)

 

 

NO Exercises this week

14

2  Dec

4

GIS and Society

Chapter 20

Exercise 5 Spatial Analysis

15

9  Dec

11

The future of Geospatial Technology

 

Chapter 21

Gewin

Exercise 5 Spatial Analysis

16

16 Dec

Final Exam 11:00 – 12:30

 

Due day for all missed lab exercises (5:00pm)

 

 

 

 

 

 

 

 
Additional Readings: (Available via the Internet or be distributed in the lecture)

 

Corvallis Microtechnology, Inc. (1996). Introduction to the Global Positioning System for GIS and TRAVERSE.  URL: http://www.cmtinc.com/gpsbook/index.htm

 

David M. Mark, Nicholas Chrisman, Andrew U. Frank, Patrick H. McHaffie, & John Pickles, (1997),  The GIS History Project – Summary Paper, at URL: http://www.geog.buffalo.edu/ncgia/gishist/bar_harbor.html

 

Declan Butler, (2006). The web-wide world.  Nature, 439(16). February 2006, pp. 776-778.

 

NASA Earth-Sun System Website:  http://science.hq.nasa.gov/earth-sun/

 

Trimble, Inc. (2006).  GPS Tutorial.  URL: http://www.trimble.com/gps/index.shtml

 

Virginia Gewin, (2004), Mapping opportunities. Nature, 427(22). Pp. 376-377.  URL: http://www.aag.org/nature/nature.htm

 

(Example: The National Geographic MapMachine). http://plasma.nationalgeographic.com/mapmachine/index.html

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Last updated: September 30, 2008.