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Spatial Analysis in the Social Science Curriculum: Enhancing Undergraduate Learning

July 31-August 5, 2006: Santa Barbara, CA

Participants should arrive in Santa Barbara on Sunday, July 30th. The first class is in Ellison Hall, Room 2620 at 9:00am on Monday, July 31st. [ Campus Map] [Graphic Agenda]

Meals
8:00-9:00am

Breakfast (July 31-August 6) - Carrillo Dining Commons

 

11:30-1:30pm

Lunch (July 30-August 6) - De La Guerra Dining Commons (DLG)
(Saturday, Aug 5 @ DLG, 12:00-1:00pm)

 

5:30-6:30pm

Dinner (July 30-August 5) - Carrillo Dining Commons

 

     
Monday, July 31: Introduction, Motivation, and Project Planning
9:00

Welcome and Introduction

Don Janelle

9:30

Integrating Spatial Perspectives into Undergraduate Social Science Education

Stuart Sweeney

10:30

Break

 

10:45

Spatial Thinking and Problem-based Learning

"Teaching and Learning about Spatial Thinking" from NRC report

Background Reading (password protected):
Problem-Based Learning in Geography: Towards a Critical Assessment of its Purposes, Benefits, and Risks (1MB)
Activities to Develop a Spatial Perspective among Students in Introductory Geography Courses (866kb)
Integrating GIS into the Undergraduate Learning Environment (922kb)
Spatial Thinking and Problem-based Learning (745kb)
Behaviorism, Cognitivism, Constructivism: Comparing Critical Features from an Instructional Design Perspective

Stacy Rebich

11:45

Lunch

 

1:15

Project Planning and Student Assessment

Background Reading (password protected):
Analyzing Heritage Landscapes with Historical GIS: contributions from problem-based inquiry and constructivist pedagogy (1.75MB)
SPACE Curriculum Design project

Fiona Goodchild,
Stacy Rebich,
Stuart Sweeney

2:15

Break

 

2:30

Computer Lab (laptop software checks, data checks, lab logistics)

Small-Group Pedagogy Discussion (Fiona Goodchild,
Stacy Rebich, Don Janelle, Stuart Sweeney)

 

3:30

Introducing GIS and Peer Interaction (Sara Battersby, Jeff Hemphill, Enki Yoo)

Background Reading (password protected):
Data Classification PDF (2.1MB)
Exercises:
Introduction to ArcGIS

 

5:30

Reception and Poster Session * (UCSB Faculty Club)

 

     
Tuesday, August 1: Spatial Social Science and GIScience
9:00

Geographic Information Systems/Science: Basic Concepts of GIS (3.4MB)

  • Nature of spatial processes and their representation in GIS
Background Reading (password protected):
Representing geography (12.7MB)
The nature of geographic data (19.3MB)
Georeferencing (11MB)
Uncertainty (8.9MB)
Query, measurement, and transformation (14MB)
Descriptive summary, design, and inference (14MB)
Spatial modeling with GIS (8MB)

Mike Goodchild

10:00

Break

 

10:15

The Challenge of Spatial Social Science

  • GIS methods in social science research and education.
  • Thinking spatially in the social sciences.
  • Discussion

Mike Goodchild

12:00

Lunch

 

1:15

Structured Lab:ArcGIS I: Data Structures / Data Sources / Mapmaking (Sara Battersby, Jeff Hemphill, Enki Yoo)

 

3:45

Break

 

4:00

Parallel Electives *

Open Computer Lab

Staffed by:
Sara Battersby,
Jeff Hemphill,
Enki Yoo

Choropleth Maps with ArcGIS

 

Spatial Thinking and Student Assessment (1.3MB)

Background Reading (password protected):
Problem-Solving in a Case-Based Course: Strategies for Facilitating Coached Expertise (1.9MB)

Stacy Rebich

8:00pm

Open Discussion - Giovanni's, Isla Vista

 

     
Wednesday, August 2: Spatial Analytic Methods in Social Science Instruction
6:00am

Hike with Mike - Foothills of Santa Ynez Mountains

 

9:30

Spatial Analytic Methods (exploratory / descriptive / inferential)

  • Point data: SS methods / applications
  • Area data: SS methods / applications
  • Interaction data: SS methods / applications
Background Reading (password protected):
GeoDa: An Introduction to Spatial Data Analysis (524kb)
Under the Hood. Issues in the Specification and Interpretation of Spatial Regression Models (172kb)
Materials (password protected):
Animations (5.2MB)

Stuart Sweeney

10:30

Break

 

10:45

Spatial Analytic Methods (exploratory / descriptive / inferential)

  • Spatial analytic methods in social science research and education.
  • Added-value from spatial analytic methods
  • Spatial autocorrelation and relation to social science theories
  • Classroom demos versus student assignments / labs
  • Discussion

Stuart Sweeney

12:00

Lunch

 

1:15

Structured Lab: GeoDa: Exploratory Spatial Data Analysis

  • Reading ESRI Shape files and variable construction
  • EDA and ESDA utility and interpretation
  • Inferential pattern analysis / spatial autocorrelation.

Stuart Sweeney,
Kathryn Grace,
Enki Yoo

3:45

Break

 

4:00

Parallel Electives *

Open Computer Lab

staffed by:
Jeff Hemphill,
Enki Yoo

R Language and STARS (space-time analysis of regional systems)

  • Spatial econometric theory; Spatial error and spatial lag models
  • Specification tests and model interpretation
  • GeoDa application: Hedonic real estate model

Stuart Sweeney,
Kathryn Grace

5:00

Workshop Debriefing

 

     
Thursday, August 3: Cartography / Visualization in Social Science Instruction
6:00am

Surf with Stuart

 

9:00

Cartographic Visualization in Social Science Instruction

Background Reading (password protected):
Sample evaluation criteria for maps PDF (20kb)
The Selection of Class Intervals PDF (1.5MB)
On Grouping for Maximum Homogeneity PDF (593kb)
Map Making for Social Scientists PDF (9.1MB)
Choropleth Maps with Class Intervals PDF (241kb)

Sara Battersby

10:30

Break

 

10:45

Structured Lab: ArcGIS II: Topics in Cartographic Communication

  • Classification
Data Sources:
US Census FactFinder (census data)
ESRI Census Watch (census data portal and information)
ESRI Geography Network (tiger line data and tons of other spatial data)
Exercise Material:
Example table
Selecting good color schemes for maps
cart/viz links by Slocum et al. (2004)
Mapping Exercises (password protected):
Downloading map data, processing and classifying PDF (68kb)
Choropleth mapping with GIS PDF (207kb)

 

Sara Battersby,
Jeff Hemphill,
Enki Yoo

12:15

Lunch

 

Afternoon

Spatial events in Santa Barbara (options depending on interest)

Stacy Rebich

Open Computer Lab

Kathryn Grace,
Jeff Hemphill,
Enki Yoo

Consultation with Faculty

To be arranged

8:00pm

Open Discussion - Location to be determined

 

     
Friday, August 4: Spatial Interaction, Pedagogy, and Project Development
9:00

Issues in Teaching and Learning
Chair: Fiona Goodchild
Panel: Stuart Sweeney, and three workshop participants

 

10:30

Break

 

10:45

Movement and Flows

  • Flow representation and mapping
  • Discussion
Background Reading (password protected):
Links:

Tobler's Reprinted Articles on Migration

Waldo Tobler

12:00

Lunch

 

1:15

Frontiers in Teaching (Integrating Geo-Browsers, podcasts, blogs, and GPS)

Discussion with Alan Glennon, Don Janelle, Andrea Nuernberger, and workshop participants

2:15

Parallel Electives *

Open Computer Lab

Kathryn Grace,
Jeff Hemphill,
Enki Yoo


Flow Mapper Implementation

Waldo Tobler

3:00

Consultations with Instructors

F. Goodchild,
D. Janelle,
S. Sweeney,
W. Tobler

5:00

Workshop Debriefing

     
Saturday, August 5: Project Presentations / Closing Session
9:00

Participant Presentations and Peer Feedback

  • 8 minute presentation, 4 minute discussion
    (maximum of 10 PowerPoint slides)
  • Peer review for each participant

 

12:00

Lunch

 

1:15

Participant Presentations and Peer Feedback

  • 8 minute presentation, 4 minute discussion.
  • Peer review for each participant

 

3:15

Break

 

3:30

Participant Presentations and Peer Feedback

  • 8 minute presentation, 4 minute discussion.
  • Peer review for each participant

 

4:30

Closing Comments

Don Janelle,
Stuart Sweeney,
Fiona Goodchild

6:00

BBQ Dinner and Workshop Certificates (Goleta Beach)

 

     
Sunday, August 6: Participants Depart Santa Barbara

* Definitions

Project Planning / Goal Setting - Workshop participants are expected to work on a project related to their curriculum and course development. This will be the basis of a final presentation from each participant towards the end of the workshop.
Poster Session - Describe who you are and your role at your home institution. Discuss your interest in spatial analysis and provide examples of how you may have or would like to incorporate spatial analytic perspectives in the undergraduate curriculum. Posters will be the focus for participant and instructor interaction at the reception on the first day of the workshop.
Parallel Electives - Participants may choose options that best reflect their interests and needs. Topics for parallel sessions are flexible and may be suggested by participants at any time during the workshop. These will allow for small-group and more in-depth treatment of topics than would be possible in larger groups.

 

 

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